18421 Visualization Jobs - Page 30

About Us Udacity is on a mission of forging futures in tech through radical talent transformation in digital technologies. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more. Our rapidly growing global organization is revolutionizing how the enterprise market bridges the talent shortage and skills gaps during their digital transformation journey. Udacity's mission is to democratize education. We're an online learning platform offering groundbreaking education in artificial intelligence, machine learning, robotics, virtual reality, and more fields. Focused on self-empowerment through learning, Udacity is making innovative technologies such as self-driving cars available to a global community of aspiring technologists while enabling learners at all levels to skill up with essentials like programming, web, and app development. Udacity is looking for people to join our Mentor Ops team. If you love a challenge and truly want to make a difference in the world, read on! Are you passionate about learning and helping others learn? Do you find people management and mentoring rewarding? Are you technically sound and eager to learn about different technologies? Do you thrive in a fast-paced environment with a diversity of intellectual challenges? We are looking for you! Responsibilities: Technical skills of new mentors: Responsible for selecting technically strong mentors who can provide superlative services (Project reviews and answers on the Knowledge platform) to students Technical quality of Services: Responsible for deploying processes to ensure that new and existing mentors are providing high-quality, technically accurate services to the students Mentor classification: Direct ownership of validating whether any mentor is a low, medium, or high performer. The validation exercise to encompass all data related to mentor performance, including students' ratings, P2P audit scores, and data collected by manually checking the quality of services High-performing mentors: Build and lead a community of technically skilled, high-performing mentors who would serve as technical experts for an array of Nanodegree programs Ongoing Technical certification: In a scalable manner, build technical certification modules for the mentors to strengthen their technical skills and develop the competency to support students in a better manner Technical Mentor Ops processes: Ensure timely execution of parts of Mentor ops processes that need a technical understanding of concepts. Methods include getting higher-quality answers to the students through mentors and plagiarism investigations. Select and onboard Session lead : Identifying high-performing and technical strong Session leads who would be taking virtual connect sessions for the Enterprise and Scholarship clients New Initiatives: Work closely with the rest of the Mentor Operations, Student Services, Product, Engineering, and Content teams to launch new programs and opportunities for enterprise customers, students, mentors, and more What are we looking for: Technically strong bend of mind with eagerness to learn An intermediate proficiency in Python or a similar language and development experience. Proficiency in data analysis, visualization, engineering, SQL, data Warehouses, data lakes, and data pipelines on both AWS and Azure. Exceptional ability to collect, analyze, and report on data Experience in designing, launching, and managing operational processes to drive processes at scale Proven experience in prioritizing and multitasking multiple urgent needs Intuition to guide Udacity mentors by encouraging best practices for tutoring and giving feedback Flexibility in using or learning to use different methods for tracking and conveying information, such as Zendesk, Google Docs, forums, online chat programs, and email Ideal Candidate: Strong expertise in Python, SQL, NoSQL databases (e.g., MySQL, MongoDB), data visualization tools (e.g., Tableau), statistical analysis (using Python, R, scipy, statsmodels), and data manipulation libraries (e.g., pandas, dplyr). Proficient in data integration concepts, tools for building data pipelines (like Apache Airflow), and cloud platforms (e.g., AWS, Azure) for data services deployment. Knowledgeable in big data frameworks (e.g., Apache Hadoop, Apache Spark) for large-scale data processing and analysis. Strong Problem-solving skills Good at researching and troubleshooting technical issues Empathetic and a great mentor Excellent organizational skills and ability to meet deadlines Driven by data to constantly iterate and improve An excellent communicator who excels in listening, writing, and responding professionally A team player Benefits: Experience a rewarding work environment with Udacity's perks and benefits! At Udacity, we offer you the flexibility of working from home. We also have in-person collaboration spaces in Mountain View, Cairo, Dubai and Noida and continue to build opportunities for team members to connect in person Flexible working hours Paid time off Comprehensive medical insurance coverage for you and your dependents Employee wellness resources and initiatives (access to wellness platforms like Headspace, Modern Health ) Quarterly wellness day off Personalized career development Unlimited access to Udacity Nanodegrees What We Do Forging futures in tech is our vision. Udacity is where lifelong learners come to learn the skills they need, to land the jobs they want, and to build the lives they deserve. Don't stop there! Please keep reading... You've probably heard the following statistic: Most male applicants only meet 60% of the qualifications, while women and other marginalized candidates only apply if they meet 100% of the qualifications. If you think you have what it takes but don't meet every single point in the job description, please apply! We believe that historically, many processes disproportionately hurt the most marginalized communities in society- including people of color, working-class backgrounds, women and LGBTQ people. Centering these communities at our core is pivotal for any successful organization and a value we uphold steadfastly. Therefore, Udacity strongly encourages applications from all communities and backgrounds. Udacity is proud to be an Equal Employment Opportunity employer. Please read our blog post for "6 Reasons Why Diversity, Equity, and Inclusion in the Workplace Exists" Last, but certainly not least… Udacity is committed to creating economic empowerment and a more diverse and equitable world. We believe that the unique contributions of all Udacians is the driver of our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, color, religion, sex, gender, gender identity or expression, sexual orientation, marital status, national origin, ancestry, disability, medical condition (including genetic information), age, veteran status or military status, or any other basis protected by federal, state or local laws. As part of our ongoing work to build more diverse teams at Udacity, when applying, you will be asked to complete a voluntary self-identification survey. This survey is anonymous, we are unable to connect your application with your survey responses. Please complete this voluntary survey as we utilize the data for diversity measures in terms of gender and ethnic background in both our candidates and our Udacians. We consider this data seriously and appreciate your willingness to complete this step in the process, if you choose to do so. Udacity's Values Obsess over Outcomes - Take the Lead - Embrace Curiosity - Celebrate the Assist Udacity's Terms of Use and Privacy Policy

Job Title: 3D Visualizer Job Description: We are looking for a talented and experienced 3D Visualizer to join our creative team. The ideal candidate will be highly skilled in 3DS Max and possess a strong background in 3D design, particularly in the areas of restaurants, villas, and the hospitality industry. Experience with wedding pandals and event structures is a valuable asset. Responsibilities: · Develop high-quality, realistic 3D visualizations and renderings of interior and exterior spaces, with a primary focus on restaurants, villas, and hospitality venues. · Collaborate with clients and internal teams to understand design requirements and translate them into compelling 3D designs. · Produce detailed 3D models and textures using 3DS Max and other relevant software. · Create designs that meet client specifications, aesthetic goals, and project timelines. · Work closely with designers, architects, and event planners to ensure alignment with project objectives. · Modify and refine designs based on client feedback, project requirements, and design standards. · Stay updated with the latest trends and techniques in 3D visualization, architecture, and design. Requirements: · Minimum of 5 years of experience in 3D visualization, specifically in the hospitality, villa, and restaurant sectors. · Proficiency in 3DS Max is a must; knowledge of additional software like V-Ray, AutoCAD, or Adobe Suite is a plus. · Proven experience in designing wedding pandals, event structures, or similar temporary event installations is an advantage. · Strong understanding of lighting, texturing, and post-production processes for realistic renderings. · Excellent attention to detail, creativity, and an eye for aesthetics. · Ability to work independently as well as collaboratively in a team-oriented environment. · Strong communication skills for effective client and team interaction. Preferred Qualifications: · Bachelor’s degree or diploma in Architecture, Interior Design, 3D Visualization, or a related field. · Portfolio showcasing past projects in hospitality, event design, and similar sectors. This role offers an exciting opportunity to work on innovative and high-profile projects within the hospitality and event design spaces. If you are passionate about 3D design and have the skills and experience we are looking for, we would love to hear from you! Share your updated resume and portfolio with hiring team 9910265244 Thanks. Job Type: Full-time Pay: ₹30,000.00 - ₹35,000.00 per month Experience: 3D Visualizer : 5 years (Preferred) 3ds Max: 5 years (Preferred) 3D design: 5 years (Preferred) 3D models: 5 years (Preferred) Architecture: 5 years (Preferred) Event planners: 5 years (Preferred) Hospitality: 5 years (Preferred) Work Location: In person

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. We are seeking a Senior Data Scientist to join our team and work on cutting-edge solutions that safeguard Microsoft services against cyberattacks. The Senior Data Scientist will play a critical role in enhancing our security posture by developing innovative models to detect and predict security threats. This role requires a deep understanding of data science, machine learning, and cybersecurity. The ideal candidate will have extensive experience in analysing large datasets, developing algorithms, and working closely with security experts to understand emerging threats and vulnerabilities. Our team values diversity in all its forms and believes in deep collaboration to harness the best of technology. We are a group of Security Engineers, Software Developers and Data Scientists with expertise in large-scale software systems, security analysis, big data, and machine learning. We delight in diving deep into the billions of events and terabytes of data generated daily by Microsoft products and services (e.g., Azure, M365) to detect and respond to suspicious activities. We ensure that critical security components are embedded throughout our infrastructure and are continuously. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Develop and deploy scalable, production-grade AI/ML systems for real-time threat detection and response. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Analyse large and complex datasets generated by M365 to identify patterns and anomalies indicative of security risks. Collaborate with security experts to understand threat landscapes and incorporate domain knowledge into models. Continuously monitor and improve the performance of ML systems to adapt to evolving threats. Lead the design and implementation of data-driven security solutions and tools. Mentor and guide junior data scientists in best practices and advanced techniques. Communicate findings and insights to stakeholders, including senior leadership and technical teams. Qualifications Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurityDoctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field Experience in programming languages such as Python, R, or Scala, with hands-on experience in data analysis, experimental design principles and visualization. Experience in translating complex data into actionable insights and recommendations that drive business impact. Excellent technical design skills and proven ability to drive large scale system designs for complex projects or products. Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). In-depth knowledge of cybersecurity principles, threats, and attack vectors. Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data processing. Strong analytical and problem-solving skills with the ability to think creatively. Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders. Preferred Qualifications Experience in Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecuritydeveloping and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurity Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

URGENT HIRING Job Title: 2D & 3D design software Salary: ₹25k+ Depends on Interview Company: ETTORE INTERIOR AND CONSTRUCTION Location: Add – GAGAN VIHAR, DELHI Responsibilities: Skills_ Proficiency in 2D & 3D design software (AutoCAD, 3ds Max, SketchUp, V-Ray, Lumion, etc.) Strong creativity and visualization skills Knowledge of materials, color schemes, and space planning Attention to detail and ability to work on multiple projects Excellent communication and teamwork experience – 2 years to 4+years Job Type: Full-time Pay: ₹25,935.97 - ₹40,000.00 per month Work Location: In person

Job Title: Pre-Sales Technical Business Analyst (AI/ML & MERN Stack) Job Type: Full-time | Pre-Sales | Technical Consulting About the Role: We are seeking a dynamic Pre-Sales Technical Business Analyst with a strong foundation in AI/ML solutions , MERN stack technologies , and API integration . This role bridges the gap between clients’ business requirements and our technical solutions, playing a pivotal role in shaping proposals, leading product demos, and translating client needs into technical documentation and strategic solutions. Key Responsibilities: Client Engagement: Collaborate with the sales team to understand client requirements, pain points, and objectives. Participate in discovery calls, solution walkthroughs, and RFP/RFI responses. Solution Design & Technical Analysis: Analyze and document business needs, converting them into detailed technical requirements. Propose architectural solutions using AI/ML models and the MERN stack (MongoDB, Express.js, React.js, Node.js) . Provide input on data pipelines, model training, and AI workflows where needed. Technical Presentations & Demos: Prepare and deliver compelling demos and presentations for clients. Act as a technical expert during pre-sales discussions to communicate the value of proposed solutions. Documentation & Proposal Support: Draft technical sections of proposals, SoWs, and functional specs. Create user flows, diagrams, and system interaction documents. Collaboration: Work closely with engineering, product, and delivery teams to ensure alignment between business goals and technical feasibility. Conduct feasibility analysis and risk assessments on proposed features or integrations. Required Skills & Experience: 3+ years in a Business Analyst or Pre-Sales Technical Consultant role. Proven experience in AI/ML workflows (understanding of ML lifecycle, model deployment, data prep). Strong technical knowledge of the MERN stack – including RESTful APIs, database schema design, and frontend/backend integration. Solid understanding of API design , third-party integrations, and system interoperability. Ability to translate complex technical concepts into simple business language. Hands-on experience with documentation tools like Swagger/Postman for API analysis. Proficient in writing user stories, business cases, and technical specifications. Preferred Qualifications: Exposure to cloud platforms (AWS, Azure, GCP) and ML platforms (SageMaker, Vertex AI, etc.). Experience with Agile/Scrum methodologies. Familiarity with AI use cases like recommendation systems, NLP, predictive analytics. Experience with data visualization tools or BI platforms is a plus. Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Work Location: In person

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. We are seeking a Senior Data Scientist to join our team and work on cutting-edge solutions that safeguard Microsoft services against cyberattacks. The Senior Data Scientist will play a critical role in enhancing our security posture by developing innovative models to detect and predict security threats. This role requires a deep understanding of data science, machine learning, and cybersecurity. The ideal candidate will have extensive experience in analysing large datasets, developing algorithms, and working closely with security experts to understand emerging threats and vulnerabilities. Our team values diversity in all its forms and believes in deep collaboration to harness the best of technology. We are a group of Security Engineers, Software Developers and Data Scientists with expertise in large-scale software systems, security analysis, big data, and machine learning. We delight in diving deep into the billions of events and terabytes of data generated daily by Microsoft products and services (e.g., Azure, M365) to detect and respond to suspicious activities. We ensure that critical security components are embedded throughout our infrastructure and are continuously. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Develop and deploy scalable, production-grade AI/ML systems for real-time threat detection and response. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Analyse large and complex datasets generated by M365 to identify patterns and anomalies indicative of security risks. Collaborate with security experts to understand threat landscapes and incorporate domain knowledge into models. Continuously monitor and improve the performance of ML systems to adapt to evolving threats. Lead the design and implementation of data-driven security solutions and tools. Mentor and guide junior data scientists in best practices and advanced techniques. Communicate findings and insights to stakeholders, including senior leadership and technical teams. Qualifications Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurityDoctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field Experience in programming languages such as Python, R, or Scala, with hands-on experience in data analysis, experimental design principles and visualization. Experience in translating complex data into actionable insights and recommendations that drive business impact. Excellent technical design skills and proven ability to drive large scale system designs for complex projects or products. Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). In-depth knowledge of cybersecurity principles, threats, and attack vectors. Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data processing. Strong analytical and problem-solving skills with the ability to think creatively. Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders. Preferred Qualifications Experience in Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecuritydeveloping and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurity Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Job Summary: We are looking for a sharp and detail-oriented Data Analyst to collect, analyze, and interpret data to support business decisions. The ideal candidate is skilled in Excel, data visualization tools, and can turn numbers into insights. Key Responsibilities: Collect, clean, and analyze large datasets from various sources Create reports, dashboards, and data visualizations for internal use Identify trends, patterns, and actionable insights to support decision-making Prepare and present daily/weekly/monthly analytical reports Collaborate with internal teams (marketing, sales, operations) to support data-driven strategies Ensure data accuracy, integrity, and security Automate routine reporting tasks using Excel/SQL/Python (preferred) Requirements: Bachelor’s degree in Statistics, Computer Science, Mathematics, or related field 1–3 years of experience as a Data Analyst or in a similar role Strong skills in MS Excel, Google Sheets , and data visualization tools (Power BI/Tableau) Basic knowledge of SQL or Python Strong analytical mindset and attention to detail Good communication and problem-solving skills Job Type: Full-time Pay: ₹25,000.00 - ₹50,000.00 per month Application Question(s): Do you have working knowledge of SQL or Python for data analysis ? How would you rate your proficiency in Microsoft Excel (pivot tables, vlookups, etc.)? Beginner Intermediate Advanced Expert Education: Bachelor's (Required) Experience: Data analysis skills: 1 year (Required) Work Location: In person Expected Start Date: 01/08/2025

The Role: As a Product Analyst , you will play a critical role in helping us build data-driven, user-centric features on the BotPenguin platform. You will work closely with Product Managers, Design, Engineering, Marketing, and Customer Success Teams to analyze user behavior, validate feature performance, and uncover growth opportunities through actionable insights. This is an exciting opportunity to join a high-growth product team and influence strategic decisions at the intersection of data, product design, and customer experience. What you need for this role: Education: Bachelor’s degree in Computer Science, Business Analytics, Engineering, Statistics, or related field. Experience: 2-5 years of experience in a product or data analyst role within a SaaS or tech product environment. Technical Skills: Strong expertise in MongoDB and data visualization tools (e.g., Tableau, Power BI, Metabase). Familiarity with Google Analytics, Mixpanel, Hotjar, or other product analytics platforms. Hands-on experience working with Excel/Google Sheets, building dashboards, and extracting user insights. Knowledge of product lifecycle, user funnels, A/B testing, and cohort analysis. Bonus: Exposure to Python, R, or basic scripting for data processing. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and storytelling abilities—able to translate data into strategic insights. Proactive attitude with a willingness to own initiatives and drive improvements. Keen interest in product design, user experience, and tech innovation. What you will be doing: Collaborate with Product Managers to define key metrics, success criteria, and feature adoption benchmarks. Analyze platform usage, customer behavior, and market data to discover pain points and opportunity areas. Generate and maintain weekly/monthly product reports and dashboards for cross-functional teams. Design and evaluate A/B tests, feature rollouts, and experiments to improve user engagement and retention. Work with the Engineering team to ensure accurate data tracking and event instrumentation. Monitor product KPIs and proactively raise red flags for anomalies or unexpected trends. Participate in roadmap discussions, contributing insights backed by data. Assist in user segmentation and support marketing and CS teams with insights for personalized communication and retention strategies. Assist on any other related to the product development or management if required. Top reasons to work with us: Lead the architecture and evolution of a fast-growing AI product used globally. Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹600,000.00 - ₹800,000.00 per year Benefits: Flexible schedule Leave encashment Provident Fund Schedule: Day shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: product analyst : 3 years (Required) Work Location: In person

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will also participate in testing and debugging processes to ensure the applications function as intended, while continuously seeking opportunities for improvement and efficiency in your work. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the documentation of application specifications and user guides. - Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong understanding of data integration and ETL processes. - Experience with cloud computing platforms and services. - Familiarity with programming languages such as Python or Scala. - Knowledge of data visualization techniques and tools. Additional Information: - The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Bhubaneswar office. - A 15 years full time education is required. 15 years full time education

Job Description Are you someone with a relentless drive for perfection, always seeking to make things better? If so, you'll find a kindred spirit in Ford Quality. We're passionate about continuous improvement, constantly striving to deliver the highest quality products and services our customers deserve. Join us and become a key player in driving operational excellence. You'll contribute to innovative, proprietary initiatives like our Global Product Development System, Quality Operating System, and New Model Launch processes. This role offers fantastic cross-functional exposure, as you'll collaborate closely with integrated teams across Manufacturing, Product Development, Purchasing, Marketing, Sales, and Service. In this exciting role, you'll: You'll be at the heart of our data-driven decision-making, analyzing vast amounts of data to pinpoint opportunities for improvement. Your insights will directly enhance quality performance and elevate the customer experience with our products. We truly believe that data holds immense power to help us create exceptional products and experiences that delight our customers. By providing actionable, persistent insights from a high-quality data platform, you'll empower our business and engineering teams to make even more impactful decisions. Responsibilities Deep Data Analysis: Dive into internal and external data sources to uncover emerging trends, critical patterns, and any anomalies that need attention. Data Quality Assurance: Ensure the accuracy and completeness of our data sources, metrics, and reports – because reliable insights start with reliable data. Impactful Insights Reporting: Transform complex findings into clear, comprehensive reports that effectively communicate key insights and their potential business impact. Engaging Visualizations: Design and build compelling data visualizations that connect disparate data points, making weekly KPI status easy to understand at a glance. Process Enhancement: Document, streamline, and identify areas for automation within our processes to improve reaction times to KPIs, boost efficiency, minimize errors, and maintain data integrity. KPI Measurement Leadership: Take the lead in identifying and implementing new tools and data sources to refine how we measure our Key Performance Indicators, including establishing robust closed-loop feedback systems. Cross-functional Collaboration: Partner daily with functional teams to proactively identify and address gaps or errors in both our data and our processes. Qualifications What you'll bring to the table: Education: A bachelor’s degree in computer science, Physics, Mathematics, Electrical Engineering, or a closely related quantitative field. Analytical Prowess: At least 3 years of hands-on experience in analytical and data analysis roles, demonstrating a strong command of data manipulation and interpretation. Technical Toolkit: A minimum of 1 year of experience utilizing Visual Basic for Applications (VBA) Macro, SQL, and GCP Cloud for data processing and automation. Visualization Expertise: At least 1 year of experience with Alteryx and Qlik Sense/Looker Studio to create insightful data visualizations and dashboards. Office Automation: A minimum of 1 year of experience automating tasks and processes within the Microsoft Office Suite (Excel, PowerPoint, Word). Even better, you may also have: Advanced Degree: A master’s degree in computer science, Physics, Mathematics, Electrical Engineering, or a related field. Agile Experience: Familiarity with agile toolsets like JIRA for project management and collaboration. Industry Insight: Knowledge of the vehicle/quality ecosystem and understanding relevant data sources within the automotive industry. Proven Impact: Demonstrated success in applying analytical methods that have led to measurable positive impacts on product development, business strategy, or overall company performance. Exceptional Communication: You're self-motivated with excellent verbal and written communication skills, capable of presenting complex data clearly and concisely to diverse audiences. Core Strengths: Highly credible organizational, time management, decision-making, and problem-solving skills. Certification: A Six Sigma Green Belt or Black Belt certification would be a fantastic bonus.

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-makin g. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to : Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Data Analyst Passionate and results-driven Data Engineer with a proven track record of designing and implementing robust data solutions on Google Cloud Platform (GCP). Specializing in GCP BigQuery, Looker, SQL Responsibiliti es : Write and optimize SQL queries to extract, transform, and load (ETL) data from various sources. Analyze complex datasets to derive actionable insights for business stakeholders. Proficient in working with Google Cloud Platform, particularly BigQuery. Design, implement, and optimize data pipelines using GCP services. Develop and maintain LookML models in Looker for creating interactive and dynamic dashboards. Collaborate with business users to understand reporting requirements and translate them into Looker v isualizations. Configure and manage data virtualization using AtScale to provide a unified view of data across multiple sources. Ensure data consistency and performance in virtualized environments. Implement and enforce data governance policies to ensure data quality, security, and compliance. Work closely with cross-function al teams to establish best practices for data management. Identify and implement optimizations in SQL queries and data processing pipelines for improved performance. Troubleshoot and resolve performance-re lated issues. Document data models, ETL processes, and data definitions. Provide training and support to end-users on data tools and platforms. Requirements : Information Systems, or a related field with 3-6 years of experience in Data Engineering domain. Proven experience with SQL and database management systems. Hands-on experience with Google Cloud Platform, specifically BigQuery. Proficiency in Looker for data visualization and reporting. Familiarity with AtScale for data v irtualization. Strong analytical and problem-solvin g skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Knowledge of data governance principles and best practices. Good to have Certification in GCP, Looker, or AtScale. Familiarity with Tableau tool Familiarity with scripting languages (e.g., Python). Knowledge of data warehousing concepts and best practices. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 301688

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. We are seeking a Senior Data Scientist to join our team and work on cutting-edge solutions that safeguard Microsoft services against cyberattacks. The Senior Data Scientist will play a critical role in enhancing our security posture by developing innovative models to detect and predict security threats. This role requires a deep understanding of data science, machine learning, and cybersecurity. The ideal candidate will have extensive experience in analysing large datasets, developing algorithms, and working closely with security experts to understand emerging threats and vulnerabilities. Our team values diversity in all its forms and believes in deep collaboration to harness the best of technology. We are a group of Security Engineers, Software Developers and Data Scientists with expertise in large-scale software systems, security analysis, big data, and machine learning. We delight in diving deep into the billions of events and terabytes of data generated daily by Microsoft products and services (e.g., Azure, M365) to detect and respond to suspicious activities. We ensure that critical security components are embedded throughout our infrastructure and are continuously. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Develop and deploy scalable, production-grade AI/ML systems for real-time threat detection and response. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Analyse large and complex datasets generated by M365 to identify patterns and anomalies indicative of security risks. Collaborate with security experts to understand threat landscapes and incorporate domain knowledge into models. Continuously monitor and improve the performance of ML systems to adapt to evolving threats. Lead the design and implementation of data-driven security solutions and tools. Mentor and guide junior data scientists in best practices and advanced techniques. Communicate findings and insights to stakeholders, including senior leadership and technical teams. Qualifications Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurityDoctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field Experience in programming languages such as Python, R, or Scala, with hands-on experience in data analysis, experimental design principles and visualization. Experience in translating complex data into actionable insights and recommendations that drive business impact. Excellent technical design skills and proven ability to drive large scale system designs for complex projects or products. Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). In-depth knowledge of cybersecurity principles, threats, and attack vectors. Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data processing. Strong analytical and problem-solving skills with the ability to think creatively. Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders. Preferred Qualifications Experience in Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecuritydeveloping and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurity Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. We are seeking a Senior Data Scientist to join our team and work on cutting-edge solutions that safeguard Microsoft services against cyberattacks. The Senior Data Scientist will play a critical role in enhancing our security posture by developing innovative models to detect and predict security threats. This role requires a deep understanding of data science, machine learning, and cybersecurity. The ideal candidate will have extensive experience in analysing large datasets, developing algorithms, and working closely with security experts to understand emerging threats and vulnerabilities. Our team values diversity in all its forms and believes in deep collaboration to harness the best of technology. We are a group of Security Engineers, Software Developers and Data Scientists with expertise in large-scale software systems, security analysis, big data, and machine learning. We delight in diving deep into the billions of events and terabytes of data generated daily by Microsoft products and services (e.g., Azure, M365) to detect and respond to suspicious activities. We ensure that critical security components are embedded throughout our infrastructure and are continuously. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Develop and deploy scalable, production-grade AI/ML systems for real-time threat detection and response. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Analyse large and complex datasets generated by M365 to identify patterns and anomalies indicative of security risks. Collaborate with security experts to understand threat landscapes and incorporate domain knowledge into models. Continuously monitor and improve the performance of ML systems to adapt to evolving threats. Lead the design and implementation of data-driven security solutions and tools. Mentor and guide junior data scientists in best practices and advanced techniques. Communicate findings and insights to stakeholders, including senior leadership and technical teams. Qualifications Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurityDoctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field Experience in programming languages such as Python, R, or Scala, with hands-on experience in data analysis, experimental design principles and visualization. Experience in translating complex data into actionable insights and recommendations that drive business impact. Excellent technical design skills and proven ability to drive large scale system designs for complex projects or products. Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). In-depth knowledge of cybersecurity principles, threats, and attack vectors. Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data processing. Strong analytical and problem-solving skills with the ability to think creatively. Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders. Preferred Qualifications Experience in Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecuritydeveloping and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurity Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Location: Ahmedabad Experience Required: 1–2 Years Employment Type: Full-Time We are currently seeking a skilled and motivated 3D Interior & Architecture Designer to join our team in Ahmedabad. The ideal candidate will have 1–2 years of professional experience in architectural visualization, with a focus on both commercial and residential projects . Key Responsibilities: Develop high-quality 3D visualizations for interior and exterior architecture. Create photorealistic renderings using 3Ds Max and Corona Renderer . Produce architectural animations and walkthroughs using Cinema 4D and Adobe tools. Execute post-production tasks and enhance visuals using Adobe Photoshop . Collaborate with architects and designers to accurately translate concepts into 3D visuals. Required Skills: Proficiency in: Autodesk 3Ds Max Corona Renderer Cinema 4D Adobe Photoshop , After Effects , Premiere Pro Strong understanding of lighting, materials, and composition in architectural visualization. A portfolio showcasing relevant 3D work and animation experience. To Apply: Please submit your CV and portfolio to hr@eembranding.com Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Paid sick time Schedule: Day shift Application Question(s): Total How many year of Experience do you have ? What is your Current Salary ? What is your Expected Salary ? What is your Notice Period Salary ? What is your Current Location ? Which Software you are using, Mention Below Software Name ? Do you have experience in 3D Archirecture & 3D Interior Designing ? Work Location: In person

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. We are seeking a Senior Data Scientist to join our team and work on cutting-edge solutions that safeguard Microsoft services against cyberattacks. The Senior Data Scientist will play a critical role in enhancing our security posture by developing innovative models to detect and predict security threats. This role requires a deep understanding of data science, machine learning, and cybersecurity. The ideal candidate will have extensive experience in analysing large datasets, developing algorithms, and working closely with security experts to understand emerging threats and vulnerabilities. Our team values diversity in all its forms and believes in deep collaboration to harness the best of technology. We are a group of Security Engineers, Software Developers and Data Scientists with expertise in large-scale software systems, security analysis, big data, and machine learning. We delight in diving deep into the billions of events and terabytes of data generated daily by Microsoft products and services (e.g., Azure, M365) to detect and respond to suspicious activities. We ensure that critical security components are embedded throughout our infrastructure and are continuously. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Develop and deploy scalable, production-grade AI/ML systems for real-time threat detection and response. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Analyse large and complex datasets generated by M365 to identify patterns and anomalies indicative of security risks. Collaborate with security experts to understand threat landscapes and incorporate domain knowledge into models. Continuously monitor and improve the performance of ML systems to adapt to evolving threats. Lead the design and implementation of data-driven security solutions and tools. Mentor and guide junior data scientists in best practices and advanced techniques. Communicate findings and insights to stakeholders, including senior leadership and technical teams. Qualifications Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurityDoctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field Experience in programming languages such as Python, R, or Scala, with hands-on experience in data analysis, experimental design principles and visualization. Experience in translating complex data into actionable insights and recommendations that drive business impact. Excellent technical design skills and proven ability to drive large scale system designs for complex projects or products. Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). In-depth knowledge of cybersecurity principles, threats, and attack vectors. Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data processing. Strong analytical and problem-solving skills with the ability to think creatively. Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders. Preferred Qualifications Experience in Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecuritydeveloping and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurity Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. We are seeking a Senior Data Scientist to join our team and work on cutting-edge solutions that safeguard Microsoft services against cyberattacks. The Senior Data Scientist will play a critical role in enhancing our security posture by developing innovative models to detect and predict security threats. This role requires a deep understanding of data science, machine learning, and cybersecurity. The ideal candidate will have extensive experience in analysing large datasets, developing algorithms, and working closely with security experts to understand emerging threats and vulnerabilities. Our team values diversity in all its forms and believes in deep collaboration to harness the best of technology. We are a group of Security Engineers, Software Developers and Data Scientists with expertise in large-scale software systems, security analysis, big data, and machine learning. We delight in diving deep into the billions of events and terabytes of data generated daily by Microsoft products and services (e.g., Azure, M365) to detect and respond to suspicious activities. We ensure that critical security components are embedded throughout our infrastructure and are continuously. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Develop and deploy scalable, production-grade AI/ML systems for real-time threat detection and response. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Analyse large and complex datasets generated by M365 to identify patterns and anomalies indicative of security risks. Collaborate with security experts to understand threat landscapes and incorporate domain knowledge into models. Continuously monitor and improve the performance of ML systems to adapt to evolving threats. Lead the design and implementation of data-driven security solutions and tools. Mentor and guide junior data scientists in best practices and advanced techniques. Communicate findings and insights to stakeholders, including senior leadership and technical teams. Qualifications Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurityDoctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field Experience in programming languages such as Python, R, or Scala, with hands-on experience in data analysis, experimental design principles and visualization. Experience in translating complex data into actionable insights and recommendations that drive business impact. Excellent technical design skills and proven ability to drive large scale system designs for complex projects or products. Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). In-depth knowledge of cybersecurity principles, threats, and attack vectors. Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data processing. Strong analytical and problem-solving skills with the ability to think creatively. Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders. Preferred Qualifications Experience in Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecuritydeveloping and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurity Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

ob qualifications Technical Skills You have experience in leading the system design and implementation of technical solutions Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems You have a deep understanding of data modeling and experience with modern data engineering tools and platforms You have experience in writing clean, high-quality code using the preferred programming language You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting You have experience with data visualization techniques and can communicate the insights as per the audience You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.) Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them You coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work You enjoy influencing others and always advocate for technical excellence while being open to change when needed You are a proven leader with a track record of encouraging teammates in their professional development and relationships Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. We are seeking a Senior Data Scientist to join our team and work on cutting-edge solutions that safeguard Microsoft services against cyberattacks. The Senior Data Scientist will play a critical role in enhancing our security posture by developing innovative models to detect and predict security threats. This role requires a deep understanding of data science, machine learning, and cybersecurity. The ideal candidate will have extensive experience in analysing large datasets, developing algorithms, and working closely with security experts to understand emerging threats and vulnerabilities. Our team values diversity in all its forms and believes in deep collaboration to harness the best of technology. We are a group of Security Engineers, Software Developers and Data Scientists with expertise in large-scale software systems, security analysis, big data, and machine learning. We delight in diving deep into the billions of events and terabytes of data generated daily by Microsoft products and services (e.g., Azure, M365) to detect and respond to suspicious activities. We ensure that critical security components are embedded throughout our infrastructure and are continuously. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Develop and deploy scalable, production-grade AI/ML systems for real-time threat detection and response. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Analyse large and complex datasets generated by M365 to identify patterns and anomalies indicative of security risks. Collaborate with security experts to understand threat landscapes and incorporate domain knowledge into models. Continuously monitor and improve the performance of ML systems to adapt to evolving threats. Lead the design and implementation of data-driven security solutions and tools. Mentor and guide junior data scientists in best practices and advanced techniques. Communicate findings and insights to stakeholders, including senior leadership and technical teams. Qualifications Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurityDoctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field Experience in programming languages such as Python, R, or Scala, with hands-on experience in data analysis, experimental design principles and visualization. Experience in translating complex data into actionable insights and recommendations that drive business impact. Excellent technical design skills and proven ability to drive large scale system designs for complex projects or products. Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). In-depth knowledge of cybersecurity principles, threats, and attack vectors. Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data processing. Strong analytical and problem-solving skills with the ability to think creatively. Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders. Preferred Qualifications Experience in Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecuritydeveloping and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurity Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. We are seeking a Senior Data Scientist to join our team and work on cutting-edge solutions that safeguard Microsoft services against cyberattacks. The Senior Data Scientist will play a critical role in enhancing our security posture by developing innovative models to detect and predict security threats. This role requires a deep understanding of data science, machine learning, and cybersecurity. The ideal candidate will have extensive experience in analysing large datasets, developing algorithms, and working closely with security experts to understand emerging threats and vulnerabilities. Our team values diversity in all its forms and believes in deep collaboration to harness the best of technology. We are a group of Security Engineers, Software Developers and Data Scientists with expertise in large-scale software systems, security analysis, big data, and machine learning. We delight in diving deep into the billions of events and terabytes of data generated daily by Microsoft products and services (e.g., Azure, M365) to detect and respond to suspicious activities. We ensure that critical security components are embedded throughout our infrastructure and are continuously. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Develop and deploy scalable, production-grade AI/ML systems for real-time threat detection and response. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Analyse large and complex datasets generated by M365 to identify patterns and anomalies indicative of security risks. Collaborate with security experts to understand threat landscapes and incorporate domain knowledge into models. Continuously monitor and improve the performance of ML systems to adapt to evolving threats. Lead the design and implementation of data-driven security solutions and tools. Mentor and guide junior data scientists in best practices and advanced techniques. Communicate findings and insights to stakeholders, including senior leadership and technical teams. Qualifications Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurityDoctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field Experience in programming languages such as Python, R, or Scala, with hands-on experience in data analysis, experimental design principles and visualization. Experience in translating complex data into actionable insights and recommendations that drive business impact. Excellent technical design skills and proven ability to drive large scale system designs for complex projects or products. Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). In-depth knowledge of cybersecurity principles, threats, and attack vectors. Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data processing. Strong analytical and problem-solving skills with the ability to think creatively. Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders. Preferred Qualifications Experience in Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecuritydeveloping and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurity Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Location: Gandhinagar, Gujarat (On-site) Experience Required: 2–4 years (US Client Handling Experience Required) Working Hours: Flexible to match US time zones Industry: E-commerce / IT Services / Digital Solutions About Strideck Technologies Strideck Technologies is an innovative e-commerce and digital solutions provider, helping global businesses enhance their online presence with services such as e-commerce store development, AI integrations, 3D product visualization, and customer engagement tools. Role Overview We are seeking a proactive Sales and Customer Support Executive who is comfortable handling inbound and outbound communication with US-based clients , conducting product demos, onboarding new clients, and offering world-class customer support. Key Responsibilities Handle inbound queries via calls, emails, and chat with a friendly, professional attitude. Conduct outbound follow-up calls to potential and existing clients. Present company services and product demos effectively through virtual presentations. Manage and assist in the onboarding process for new customers and partners. Resolve customer issues quickly and efficiently while ensuring a positive experience. Maintain records of client interactions, feedback, and status updates in the CRM. Collaborate with sales and technical teams to ensure smooth service delivery. Identify upsell or cross-sell opportunities during customer interactions. Required Skills & Qualifications 2–4 years of experience in Sales or Customer Support roles, preferably handling US clients . Fluent in English with a neutral or US accent ; strong communication skills (verbal & written). Experience in inbound and outbound calling , lead nurturing, and customer engagement. Excellent presentation and client onboarding skills via Zoom, Meet, or similar platforms. Familiarity with CRM tools like Zoho, HubSpot, or Salesforce. Strong interpersonal skills, empathy, and a customer-first mindset. Ability to work independently and handle multiple tasks efficiently. Preferred (Nice to Have) Prior experience in e-commerce, SaaS, or IT service sales . Understanding of Shopify, WooCommerce, or digital marketing terms. Ability to work US shift timing and adapt communication accordingly. Job Types: Full-time, Permanent, Fresher Pay: ₹10,138.50 - ₹27,886.02 per month Benefits: Cell phone reimbursement Flexible schedule Food provided Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Evening shift Fixed shift Monday to Friday Morning shift Night shift Rotational shift Weekend availability Supplemental Pay: Shift allowance Work Location: In person Speak with the employer +91 8401654884

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. We are seeking a Senior Data Scientist to join our team and work on cutting-edge solutions that safeguard Microsoft services against cyberattacks. The Senior Data Scientist will play a critical role in enhancing our security posture by developing innovative models to detect and predict security threats. This role requires a deep understanding of data science, machine learning, and cybersecurity. The ideal candidate will have extensive experience in analysing large datasets, developing algorithms, and working closely with security experts to understand emerging threats and vulnerabilities. Our team values diversity in all its forms and believes in deep collaboration to harness the best of technology. We are a group of Security Engineers, Software Developers and Data Scientists with expertise in large-scale software systems, security analysis, big data, and machine learning. We delight in diving deep into the billions of events and terabytes of data generated daily by Microsoft products and services (e.g., Azure, M365) to detect and respond to suspicious activities. We ensure that critical security components are embedded throughout our infrastructure and are continuously. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Develop and deploy scalable, production-grade AI/ML systems for real-time threat detection and response. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Analyse large and complex datasets generated by M365 to identify patterns and anomalies indicative of security risks. Collaborate with security experts to understand threat landscapes and incorporate domain knowledge into models. Continuously monitor and improve the performance of ML systems to adapt to evolving threats. Lead the design and implementation of data-driven security solutions and tools. Mentor and guide junior data scientists in best practices and advanced techniques. Communicate findings and insights to stakeholders, including senior leadership and technical teams. Qualifications Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurityDoctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field Experience in programming languages such as Python, R, or Scala, with hands-on experience in data analysis, experimental design principles and visualization. Experience in translating complex data into actionable insights and recommendations that drive business impact. Excellent technical design skills and proven ability to drive large scale system designs for complex projects or products. Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). In-depth knowledge of cybersecurity principles, threats, and attack vectors. Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data processing. Strong analytical and problem-solving skills with the ability to think creatively. Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders. Preferred Qualifications Experience in Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecuritydeveloping and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurity Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. We are seeking a Senior Data Scientist to join our team and work on cutting-edge solutions that safeguard Microsoft services against cyberattacks. The Senior Data Scientist will play a critical role in enhancing our security posture by developing innovative models to detect and predict security threats. This role requires a deep understanding of data science, machine learning, and cybersecurity. The ideal candidate will have extensive experience in analysing large datasets, developing algorithms, and working closely with security experts to understand emerging threats and vulnerabilities. Our team values diversity in all its forms and believes in deep collaboration to harness the best of technology. We are a group of Security Engineers, Software Developers and Data Scientists with expertise in large-scale software systems, security analysis, big data, and machine learning. We delight in diving deep into the billions of events and terabytes of data generated daily by Microsoft products and services (e.g., Azure, M365) to detect and respond to suspicious activities. We ensure that critical security components are embedded throughout our infrastructure and are continuously. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Develop and deploy scalable, production-grade AI/ML systems for real-time threat detection and response. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Analyse large and complex datasets generated by M365 to identify patterns and anomalies indicative of security risks. Collaborate with security experts to understand threat landscapes and incorporate domain knowledge into models. Continuously monitor and improve the performance of ML systems to adapt to evolving threats. Lead the design and implementation of data-driven security solutions and tools. Mentor and guide junior data scientists in best practices and advanced techniques. Communicate findings and insights to stakeholders, including senior leadership and technical teams. Qualifications Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurityDoctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field Experience in programming languages such as Python, R, or Scala, with hands-on experience in data analysis, experimental design principles and visualization. Experience in translating complex data into actionable insights and recommendations that drive business impact. Excellent technical design skills and proven ability to drive large scale system designs for complex projects or products. Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). In-depth knowledge of cybersecurity principles, threats, and attack vectors. Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data processing. Strong analytical and problem-solving skills with the ability to think creatively. Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders. Preferred Qualifications Experience in Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecuritydeveloping and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurity Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Visualizer Job Description: Lab-GrownDiamond Brand Storytellingto developtablish the creative combines artistic visat communicates ouwho can transform athat resonate withxurydirectionion withr valuesbstractPosition OverviewWe are seeking a highly crcompelling visual narrativefor our innovative lab-growstrategic thinking to build of sustainability, innovationThe ideal candidate will be brand concepts into engagienvironmentally conscious eative and strategic s, define brand voice, and esn diamond brand. This role a cohesive brand aesthetic t, and modern luxurya visual storytelling expert ng, memorable experiences consumers seeking ethical lKey ResponsibilitiesBrand Storytelling & Narrative DevelopmentBrand Visualizer . . Craft compelling brand narratives that position lab-grown diamonds as thefuture of sustainable luxury, highlighting their scientific innovation and ethical sourcing Develop multi-layered story frameworks that connect emotionally withconsumers, emphasizing the journey from laboratory creation to lifetimememories Create customer-centered narratives that address pain points aroundtraditional diamond sourcing and environmental concerns Build storylines around key brand moments, from the precise laboratoryconditions that create each diamond to the celebration moments theycommemorate Visual Aesthetics & Creative Direction Define and maintain visual brand identity through cohesive color palettes,typography, and imagery that reflect modern luxury and scientific precision Create mood boards and visual style guides that capture the brand's aesthetic philosophy, balancing cutting-edge technology with timeless elegance Develop visual storytelling concepts for various media formats, ensuring consistency across digital platforms, packaging, and marketing materials Design innovative visual presentations that showcase the unique properties and brilliance of lab-grown diamonds through advanced photography and digital visualization techniques Tone of Voice & Brand Communication Establish brand voice guidelines that communicate authenticity, innovation,and ethical luxury while remaining approachable and educational Develop tone of voice frameworks that adapt across different audiences - from environmentally conscious millennials to luxury seekers to tech-forward consumers Create messaging hierarchies that prioritize transparency about the lab-grown process while emphasizing emotional connections and lifestyle aspirations Craft brand language that differentiates lab-grown diamonds from traditional alternatives without disparaging natural diamonds Creative Route & Campaign Development Conceptualize integrated creative campaigns that span digital, social media,influencer partnerships, and traditional luxury marketing channels Develop content strategies that educate consumers about lab-grown diamond benefits while maintaining luxury brand positioning Create immersive brand experiences through visual storytelling that makes the scientific process accessible and aspirational Design customer journey narratives that guide prospects from awareness to purchase through compelling visual and emotional touchpoints Collaboration & Implementation Work closely with marketing teams to ensure visual concepts align withbusiness objectives and market positioning Partner with photographers and content creators to execute visual concepts that maintain brand standards while pushing creative boundaries Collaborate with product development teams to integrate brand storytelling into jewelry design and packaging experiences Present creative concepts to stakeholders, articulating the strategic rationale behind visual and narrative choices Required QualificationsEducation & Experience Bachelor's degree in Graphic Design, Fine Arts, Marketing, or related creative field 3-5 years of experience in brand visualization, creative direction, or visual storytelling, preferably in luxury goods or jewelry industry Portfolio demonstrating expertise in brand narrative development, visual identity creation, and multi-channel creative campaigns Technical Skills Advanced proficiency in Adobe Creative Suite (Photoshop, Illustrator,InDesign, After Effects) Experience with digital visualization tools and 3D rendering softwarepreferred Understanding of social media platforms and their unique visualrequirements, particularly Instagram and Pinterest Knowledge of brand guidelines development and style guide creation Creative & Strategic Abilities Exceptional visual storytelling skills with ability to translate complex conceptsinto engaging narratives Strong understanding of luxury brand aesthetics and premium market positioning Ability to balance artistic vision with commercial objectives and market research insights Experience in developing cohesive brand experiences across multiple touchpoints and media formats Industry Knowledge Understanding of jewelry and diamond industry dynamics, particularly theemerging lab-grown segment ethical luxury market positioning and aesthetic movements in luxurygoods Familiarity with influencer marketing and digital brand building strategiesAwareness of sustainability trends and Knowledge of contemporary design trends Preferred Qualifications or high-end consumer goodsgemologycommerce visual strategiesUnderstanding of millennial and Gen-Z consumer behavior in luxury marketsExperience with content creation for social media and digital platformsExperience with luxury brand marketing Background in jewelry design or Knowledge of digital marketing and e-KPI’s and visual identity consistency scoresvisual content across digital platformsrelated to visual storytelling effectivenessCreative campaign performance against awareness and conversion objectivesStyle guide adoption and brand consistency across all materialsBrand recognition metrics Engagement rates on Brand sentiment analysis Working Environment This role offers the opportunity to shape the visual identity of a pioneering brand in the sustainable luxury space. The successful candidate will work in a collaborative, innovation-focused environment where creativity and strategic thinking are equally valued. The position requires both independent creative vision and the ability to translate that vision into commercially viable brand experiences that resonate with modern consumers seeking ethical luxury alternatives. Job Type: Full-time Pay: ₹50,000.00 - ₹100,000.00 per month Work Location: In person

Remote What We Offer: Canteen Subsidy Shift Allowance (as per the process) Campaign Allowance Health Insurance Tuition Reimbursement Internal Movement through IJP What You’ll Be Doing: Create and maintain interactive Tableau dashboards and reports for key business stakeholders. Develop, optimize, and manage Snowflake data warehouse solutions to support analytics and reporting needs. Collaborate with data analysts, business users, and development teams to gather requirements and deliver effective data solutions. Write and maintain complex SQL queries for data extraction, transformation, and analysis. Ensure data accuracy, quality, and performance across all reporting and visualization platforms. Apply data governance and security best practices to safeguard sensitive information. Participate actively in Agile development processes, including sprint planning, daily stand-ups, and reviews. What We Expect You To Have: 2–4 years of hands-on experience with Snowflake cloud data warehouse 2–4 years of experience using Tableau for dashboard creation and report publishing Strong proficiency in SQL for data querying, transformation, and analysis Solid understanding of data modeling, warehousing concepts, and performance tuning Knowledge of data governance, security, and compliance standards Bachelor’s degree in Computer Science, Information Technology, or a related field Experience with cloud platforms such as AWS, Azure, or GCP Basic understanding of Python or other scripting languages Familiarity with Agile/Scrum methodologies and development practices Job Title : Data Analyst (Tableau and Snowflake) Location : Gandhinagar Schedule & Shift : 3:30 PM – 12:30 AM or 4:30 PM – 1:30 AM (Flexible per business needs)

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. We are seeking a Senior Data Scientist to join our team and work on cutting-edge solutions that safeguard Microsoft services against cyberattacks. The Senior Data Scientist will play a critical role in enhancing our security posture by developing innovative models to detect and predict security threats. This role requires a deep understanding of data science, machine learning, and cybersecurity. The ideal candidate will have extensive experience in analysing large datasets, developing algorithms, and working closely with security experts to understand emerging threats and vulnerabilities. Our team values diversity in all its forms and believes in deep collaboration to harness the best of technology. We are a group of Security Engineers, Software Developers and Data Scientists with expertise in large-scale software systems, security analysis, big data, and machine learning. We delight in diving deep into the billions of events and terabytes of data generated daily by Microsoft products and services (e.g., Azure, M365) to detect and respond to suspicious activities. We ensure that critical security components are embedded throughout our infrastructure and are continuously. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Develop and deploy scalable, production-grade AI/ML systems for real-time threat detection and response. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Analyse large and complex datasets generated by M365 to identify patterns and anomalies indicative of security risks. Collaborate with security experts to understand threat landscapes and incorporate domain knowledge into models. Continuously monitor and improve the performance of ML systems to adapt to evolving threats. Lead the design and implementation of data-driven security solutions and tools. Mentor and guide junior data scientists in best practices and advanced techniques. Communicate findings and insights to stakeholders, including senior leadership and technical teams. Qualifications Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurityDoctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field Experience in programming languages such as Python, R, or Scala, with hands-on experience in data analysis, experimental design principles and visualization. Experience in translating complex data into actionable insights and recommendations that drive business impact. Excellent technical design skills and proven ability to drive large scale system designs for complex projects or products. Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). In-depth knowledge of cybersecurity principles, threats, and attack vectors. Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data processing. Strong analytical and problem-solving skills with the ability to think creatively. Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders. Preferred Qualifications Experience in Experience in developing and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecuritydeveloping and deploying machine learning models for security applications. Experience in Big Data preferably in the cybersecurity. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurity Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.