4299 Data Science Jobs - Page 19

You will be joining the Digital Engineering Solutions team at CDM Smith as an Artificial Intelligence/Machine Learning Engineer. In this role, you will work within the Data Technology group to support strategic Architecture, Engineering, and Construction (AEC) initiatives by leveraging cutting-edge data technologies and analytics. Your responsibilities will include contributing to advanced analytics and implementing AI/ML solutions to address complex business challenges within the AEC domain. You will utilize state-of-the-art algorithms and techniques such as deep learning, NLP, computer vision, and time-series analysis for domain-specific use cases. Your role will involve analyzing large datasets to identify patterns and trends and ensuring AI models perform in line with business requirements. As an AI/ML Engineer, you will collaborate with Data Engineers, Data Scientists, and other stakeholders to design and implement end-to-end AI/ML solutions. You will also be involved in optimizing AI/ML workflows by implementing MLOps practices, including CI/CD pipelines, model retraining, and version control. Additionally, staying updated on the latest developments in technology and best practices will be crucial to your role. To succeed in this position, you should have a good understanding of the software development life cycle and experience with building and deploying machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Knowledge of cloud-based AI/ML services, programming languages (e.g., R, Python, Scala), and MLOps practices is essential. You must also be familiar with data privacy, security, and ethical AI principles to ensure compliance with relevant standards. Strong problem-solving, critical thinking, and communication skills are required to effectively address technical challenges and engage with both technical and non-technical audiences. Minimum qualifications for this role include a Bachelor's degree and 1-2 years of related experience. Equivalent additional experience will be considered in lieu of a degree. The position does not require any travel. Background checks, including criminal history, employment verification, and drug testing, may be conducted as per CDM Smith's policies for certain positions. As an AI/ML Engineer at CDM Smith, you will play a key role in driving innovation and delivering impactful solutions for AEC professionals and client outcomes. Your contributions to the Data Technology group will help shape the future of AI/ML in the architecture, engineering, and construction industry.,

ZS is a dynamic workplace where your passion can make a real difference in people's lives. As a leading management consulting and technology firm dedicated to enhancing life quality, our greatest asset is our talented team. At ZS, you will collaborate with a diverse group of innovative thinkers and experts, shaping transformative solutions for patients, caregivers, and consumers globally. Our approach prioritizes client needs, fostering impactful engagements that drive positive outcomes. We work closely with clients to design tailored solutions and technology products, generating value and driving business success across key areas. Our commitment to diversity and inclusion is at the core of our values at ZS. We recognize and celebrate the unique identities, experiences, and beliefs that define us as individuals. Your personal interests, identities, and thirst for knowledge are integral to your success here. Discover more about our initiatives for diversity, equity, and inclusion, and the supportive networks available at ZS to help our team members create inclusive spaces, access necessary resources, and amplify their voices. Insights & Analytics: ZS's Insights & Analytics team collaborates with clients to develop and implement solutions that address various business challenges. Our dedicated teams manage multiple projects concurrently, leveraging advanced data analytics and problem-solving techniques. Our recommendations are rooted in thorough research and analysis, supported by deep expertise and innovative thinking. Role Responsibilities: - Utilize quantitative skills to address clients" ongoing business analytics and reporting inquiries effectively. - Collaborate with clients to identify their specific business information requirements. - Develop and execute a tailored plan for analyzing data to address clients" unique business needs. - Identify and recommend the most suitable data for analysis in consultation with clients. - Evaluate and analyze data meticulously to provide solutions aligned with clients" business information needs. - Present data findings to clients, focusing on addressing business questions rather than technical processes. - Familiarize yourself with clients" internal processes promptly. - Build expertise in a specific client analytics area. - Provide client support during regular business hours. Candidate Requirements: - MBA with a bachelor's degree in a quantitative or analytical discipline, or a related field. Alternatively, candidates may have a PhD in a relevant area with business applications. Substantial work experience (5-8 years) may be considered in place of an MBA or PhD. - 3 years of post-MBA relevant work experience and 3-5 years of pre-MBA relevant work experience, showcasing strong analytical skills. - Proficiency in advanced modeling techniques and tools such as R, SAS, Tableau, or VBA. - Strong motivation, work ethic, maturity, and initiative. - Ability to lead and manage teams effectively. - Excellent oral and written communication skills to engage with senior decision-makers. - Detail-oriented with a focus on quality. - Analytical problem-solving abilities with a creative and innovative mindset. - Client-centric approach to service delivery. Perks & Benefits: ZS provides a comprehensive total rewards package encompassing health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, diverse career progression options, internal mobility paths, and collaborative culture empower you to excel as an individual and a global team member. We promote a flexible and connected work environment at ZS, allowing a balance between work-from-home and on-site presence at clients/ZS offices. This blend enables us to leverage the best of both worlds for enhanced collaboration and innovation. Travel Requirements: Travel is a fundamental aspect of client-facing roles at ZS, with project and client needs taking precedence. While some projects may be local, all client-facing team members should be prepared for travel as necessary. Travel opportunities facilitate stronger client relationships, diverse experiences, and professional growth in varied environments and cultures. Application Process: ZS is committed to fostering a diverse and inclusive workplace where individual passions drive impactful change and better outcomes for all. We value candidates from all backgrounds and encourage applicants to apply even if they do not meet 100% of the listed requirements. ZS is an equal opportunity employer, dedicated to providing fair employment opportunities without discrimination based on any protected class. To Apply: Candidates must have or be eligible to obtain work authorization for their intended country of employment. An online application, along with a complete set of transcripts (official or unofficial), is necessary for consideration. We kindly request no agency calls during the application process. Learn More About Us: Visit www.zs.com for more information about ZS and our commitment to driving positive change through innovative solutions and inclusive practices.,

You will be responsible for applying advanced machine learning and AI techniques to solve real-world business problems. This includes performing data analysis, feature engineering, model development, and evaluation using Python. You will be building, testing, and deploying ML models for various use cases such as classification, regression, NLP, or forecasting. Collaboration with stakeholders to define problem statements and deliver impactful data science solutions will be a key aspect of your role. It is essential to ensure scalability, performance, and reliability of data models in production environments. You are expected to continuously research and implement the latest advancements in AI/ML algorithms and tools. Your strong foundation in Data Science principles and statistical analysis will be crucial, along with deep expertise in AI/ML algorithms including supervised, unsupervised, and deep learning techniques. Hands-on programming experience in Python and common ML libraries such as scikit-learn, pandas, NumPy, TensorFlow, and PyTorch is required. Experience working with structured and unstructured data will also be beneficial. Your ability to translate business requirements into technical solutions is essential for success in this role. With 6-8 years of experience, you should possess primary skills in Data Science and additional skills in Python, AI/ML Development, and Data Science. About the Company: Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. They engineer business outcomes for Fortune 500 companies and digital natives in various industries using technologies like cloud, microservices, automation, IoT, and artificial intelligence. Infogain accelerates experience-led transformation in the delivery of digital platforms and is recognized as a Microsoft Gold Partner and Azure Expert Managed Services Provider (MSP). With offices in multiple locations worldwide, Infogain offers a dynamic and diverse work environment for professionals in the technology sector.,

As an accomplished and forward-thinking academic leader in the field of Computer Science and Artificial Intelligence at Woxsen University, you will have the opportunity to shape the university's technological education and research agenda. Your role will involve mentoring the next generation of AI innovators, engineers, and researchers. Your key responsibilities will include delivering undergraduate and postgraduate courses in Computer Science, Artificial Intelligence, and related domains such as Machine Learning, Deep Learning, NLP, Computer Vision, Robotics, and Data Science. You will be responsible for developing and revising curriculum in line with the latest industry trends and academic advancements. Additionally, guiding students in projects, hackathons, capstone work, and entrepreneurial ventures will be an essential part of your role, fostering a student-centered learning environment that emphasizes critical thinking and innovation. In terms of research and publications, you will conduct advanced research in AI and allied areas with a focus on real-world applications. Regularly publishing in top-tier peer-reviewed journals such as IEEE, ACM, Scopus, ABDC, etc., will be expected. You will also be required to apply for funded research projects, patents, and collaborative industry grants, while mentoring junior faculty and research scholars in building strong research pipelines. As an academic leader, you will contribute to the university's strategic goals through curriculum development, accreditation processes, and academic policy formation. Participation in conferences, symposiums, and thought leadership forums representing Woxsen will be important, along with serving on academic committees and contributing to interdisciplinary collaborations across schools. Your engagement with industry and innovation will involve building partnerships with AI-focused companies, R&D centers, and tech startups for live projects, internships, and placements. Facilitating industry certifications, professional workshops, and guest lectures for student and faculty enrichment will be part of your responsibilities. Furthermore, developing AI labs, research clusters, and centers of excellence on campus will be crucial in fostering innovation. To qualify for this position, you must hold a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline from a recognized institution. A minimum of 5-10 years of teaching and/or industry experience in advanced computer science and AI domains is required. A strong research track record with publications in reputed journals/conferences, proficiency in programming languages such as Python, Java, C++, and frameworks like TensorFlow, PyTorch, OpenCV, etc., as well as experience with cloud platforms (AWS, GCP, Azure) and edge AI tools is desirable. Prior experience in curriculum design, academic leadership, or working with accreditation bodies (NBA/NAAC/ABET) will be advantageous for this role.,

As a Data Scientist at our company located in Gurgaon, you will be an integral part of the Flight Safety team. Your primary responsibility will be to leverage advanced analytics and machine learning techniques to enhance safety-related decisions and optimize operational processes. By working extensively with time-series and multivariate data, you will identify anomalies, uncover patterns, and develop predictive models that are essential for improving flight safety and risk mitigation. Your key responsibilities will include performing exploratory data analysis to extract valuable insights from complex datasets, applying advanced anomaly detection techniques to identify safety risks, and developing machine learning models like ANN, RNN, and CNN for predictive safety analytics. You will also be involved in utilizing big data analytics tools, designing custom algorithms, and writing efficient code using Python and MATLAB for data processing and modeling. To qualify for this role, you should possess a Bachelor's degree in Engineering with a specialization in Data Science or a related field, along with certification in Data Science. Additionally, a minimum of 6 years of hands-on experience in data science, machine learning, or analytics roles is required, with a proven track record in developing AI/ML models, especially in anomaly detection and predictive analytics. Your key skills should include expertise in Data Analysis, Anomaly Detection, Machine Learning & Deep Learning, Big Data Analytics, Python, MATLAB, Custom Algorithm Design, and Data Collection & Preprocessing. By joining our team, you will have the opportunity to contribute to cutting-edge data science projects in aviation safety, work in a collaborative environment, and be part of a team focused on predictive safety and operational excellence.,

In this role, you are expected to contribute to Institutional Credit Management's (ICM) objective of providing comprehensive credit underwriting, identification, measurement, management, monitoring, and reporting for wholesale credit businesses. As part of the ICM In-Business Quality Assurance function, you will play a crucial role in verifying that established standards and processes are consistently applied. Your insights from quality assurance reviews will help assess the group's policies, procedures, programs, and practices related to wholesale credit risk management, enabling the identification of operational weaknesses, training needs, and process deficiencies. As the ICM In-Business Quality Assurance Data Analytics Vice President, your responsibilities include executing Quality Assurance Reviews (QARs), providing feedback on deficiencies and areas of improvement, and engaging with management, Independent Risk, and other stakeholders. You will report to the ICM In-Business Quality Assurance Data Lead and should ideally have experience in Business Audit or Risk Management, coupled with expertise in Machine Learning, Data Science, and Analytics within the context of Wholesale Credit Risk processes in global financial services firms. Key responsibilities of this role involve supporting the Head of Data Analytics in setting the global strategy for a robust data analytics and testing program, challenging the design and operation of data and credit processes, analyzing complex datasets, deriving insights from data, evaluating findings, assessing data accuracy, monitoring model performance, staying abreast of regulatory changes, and providing guidance on data-related issues. You will act as a subject matter expert for senior stakeholders, exercise independent judgment, and operate with a limited level of direct supervision. To be successful in this role, you should possess strong analytical skills, communication abilities, knowledge of Wholesale Credit Risk, leadership qualities, organizational skills, problem-solving capabilities, attention to detail, a drive for learning new technologies, and experience with programming languages and data analysis tools. A degree in a quantitative field and proficiency in tools such as SQL, Python, SAS, R, Tableau, and Power BI are preferred qualifications. If you are seeking a challenging role where you can contribute to enhancing data analytics within the context of Wholesale Credit Risk and collaborate with various stakeholders to drive improvements, this position may be an ideal fit for you.,

The Cloud and AI Infrastructure team at Cisco is a dynamic sales team at the forefront of technological innovation, dedicated to helping customers revolutionize their businesses by leveraging Cisco technology in the data center and on the cloud. By collaborating with customers, partners, and team members, the team excels in transforming customer challenges into strategic business advantages. As an Account Executive - AI Infrastructure, your role is pivotal in leading sales opportunities, identifying new prospects, and collaborating closely with customers and partners to define a strategic roadmap for their businesses. You will possess a profound understanding of Data Centre technology, particularly AI-related Infrastructure, and demonstrate a proven track record in selling data center infrastructure within a competitive market environment. Your responsibilities will include developing and executing a business development strategy aimed at driving substantial business growth. Building strong relationships with technology thought leaders and customers will be essential, positioning Cisco as a leader in AI Infrastructure solutions. To excel in this role, you must have at least 7 years of experience in technology-related sales or account management, with a focus on business development and the introduction of new technological solutions. Preferred qualifications for this position include a Bachelor's degree or equivalent experience in Business, Computer Science, Engineering, or related fields, with advanced degrees being a plus. Exceptional verbal and written communication skills are essential, along with a background in technology incubation teams to accelerate market share growth. Sales experience related to deep learning, data science, and AI Infrastructure will be beneficial, as well as familiarity with Data Centre technologies such as storage, network, platform, server, security, and cloud solutions. At Cisco, we prioritize inclusivity and ensure that individuals with disabilities receive reasonable accommodations during the application process and employment tenure. We are committed to integrating AI into our solutions to drive collaboration, security, networking, and observability advancements. By joining Cisco, you will collaborate with top AI experts and contribute to our mission of fostering an inclusive future for all. "We Are Cisco," where diverse skills and perspectives converge to fulfill our purpose of empowering an inclusive future. Cisconians experience a multitude of career opportunities within a supportive learning and development culture. With a focus on connecting people and unlocking potential, Cisco facilitates one company with many careers. Our commitment to fostering inclusivity is evident through employee resource organizations like Inclusive Communities, providing opportunities to connect, learn, and make a difference. Cisco encourages volunteering through dedicated paid time off, allowing employees to support causes they are passionate about. As a worldwide technology leader, Cisco is dedicated to assisting customers in reinventing their applications, securing their enterprises, transforming their infrastructure, and achieving sustainability goals. Every initiative undertaken by Cisco is a step towards a more inclusive future. Join us at Cisco and take your next step towards realizing your full potential in a rewarding and innovative environment.,

As a Pre-Sales Lead, you will play a crucial role in defining and driving the pre-sales roadmap to support growth objectives and industry focus areas like Telecom, Retail, Healthcare, and Manufacturing. Your responsibilities will include collaborating with delivery and sales teams to design impactful solutions for data platforms, analytics, AI/ML, CDPs, and cloud migrations. Your expertise in data science, analytics methodologies, AI/ML applications, and BI tools will be essential in translating complex client business problems into technical solutions. Working closely with the Practice team, you will gather requirements and design customized solutions tailored to meet specific client needs. You will be responsible for developing detailed proposals, conducting industry and market research, and leading the RFI/RFP response process. Additionally, you will engage with clients in key meetings to present solutions, run discovery workshops, and conduct product/service demos. As a leader, you will build and mentor a high-performing pre-sales team, establish playbooks, and best practices. Collaboration with cross-functional teams such as Product, Delivery, Marketing, and Partnerships will be crucial to ensure scalable solutions. You will also stay updated on industry trends in AI, data engineering, cloud, and digital transformation to maintain competitive offerings. To be successful in this role, you should possess a Bachelor's degree in computer science, Information Technology, Business, or a related field, along with 8-12 years of experience in Pre-Sales, Solutioning, or Consulting roles in SaaS or Data/AI firms. Deep understanding of data and analytics ecosystems, strong leadership skills, proficiency in stakeholder and project management, and excellent communication and presentation abilities are required. A willingness to travel, self-motivation, and the ability to build strong relationships with clients and internal teams are also essential. If you have experience in building and scaling pre-sales or solutioning teams, familiarity with industry verticals like Telecom, CPG, BFSI, or Healthcare, and expertise in tools and technologies, it will be considered advantageous for this role.,

The Data Science Consultant position is a challenging opportunity for someone with 4-9 years of experience. In this role, you will be responsible for driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Your main responsibilities will include providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. We are looking for a skilled and experienced Data Scientist to join our Hi-Tech practice. The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, and medical technology. As a Data Scientist, you will be tasked with developing AI models and applying GenAI techniques in various areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products. In this role, you will collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments. You will also be responsible for developing and implementing GenAI based solutions through contextual prompt engineering and prompt tuning, and supporting solution architects on the design of GenAI-powered solutions/assets. Utilizing your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions will be a key part of your responsibilities. You will design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques. Additionally, you will architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems. Experience with cloud platforms, particularly Azure/GCP, and familiarity with AWS will be beneficial in this role. It is essential to stay updated on emerging technologies and industry trends to contribute to continuous improvement initiatives within the organization. If you are seeking a challenging role that allows you to apply your data science skills and industry knowledge, this position is ideal for you.,

You will leverage your technical skills to source and prepare data from a variety of data sources, including traditional databases, no-SQL, Hadoop, and Cloud. Working closely with the data analytics staff within our team, you will understand requirements and collaborate to optimize solutions while fostering new ideas. Additionally, you will collaborate with the Data Domain Architect lead on all aspects of Data Domain Architecture, including resource management. It will also be part of your responsibilities to work with Tech, Product, and CIB data partners to research and implement use cases. To excel in this role, you should have a minimum of 8+ years of relevant work experience as a software developer, data/ML engineer, data scientist, or business intelligence engineer. A Bachelor's degree in Computer Science/Financial Engineering, MIS, Mathematics, Statistics, or another quantitative subject is required. Your analytical thinking and problem-solving skills, combined with the ability to comprehend business requirements and effectively communicate complex information to diverse audiences, will be essential. Collaboration across teams and at varying levels using a consultative approach is expected, along with a general understanding of Agile Methodology. Knowledge of cloud platforms and hands-on experience with Databricks or Snowflake is crucial. Proficiency in traditional database skills (e.g., Oracle, SQL Server) and strong overall SQL skills are necessary. Experience with Python/PySpark, an understanding of ETL framework and tools like Alteryx, and a fundamental grasp of Data Architecture are all important. You should be able to profile, clean, and extract data from various sources. Moreover, having experience in analytics and insights development, storytelling with data using tools like Tableau and Alteryx, as well as exposure to data science, AI/ML, and model development will be advantageous for this role.,

Join the SculptSoft Voyage At SculptSoft, our people come first. We cultivate talent, which is evident in everything we design, create, value, and believe. Our staff's career path and professional journey are equally important to us as our clients" delivery satisfaction and quality. Instead of forcing individuals to excel in a particular area, we focus on harnessing each person's unique qualities. We allow every individual the time needed to get into the zone where they can perform their best. Providing necessary training and prerequisite knowledge is crucial to ensuring confidence in tasks. Our team of experts conducts periodic training sessions and is always available for guidance. Emphasizing a healthy work-life balance, we operate as a 5-day workweek organization. We plan work to avoid encroaching on non-working hours, believing that time away from screens enhances efficiency during work hours. Giving our best is ingrained in our work habits, fostering enjoyment in tasks. We celebrate every achievement and recognize individual efforts and contributions with enthusiasm. Our hiring process involves multiple meetings to ensure compatibility. The first conversation with the HR team aims to understand your needs and expectations. In the second meeting, technical experts evaluate your skills. The final meeting focuses on sharing detailed work profiles and future career paths for mutual benefit. Employee Benefits Include: - Medical Insurance - Open Door Policy - Competency Development - Learning opportunities from experts - Career advancement prospects - Appreciations and Rewards - Goal setting and accountability - Flexible working hours - Work-Life Balance - Referral Bonus - Cultural Events and Sports Currently, we do not have any vacancies. However, we have openings for various positions: 1. Project Manager - Experience: 5-6 years 2. QA Automation Engineer - Experience: 3-6 years 3. Sr. Frontend Developer - Experience: 5+ years 4. Data Engineer - Experience: 3-5 years 5. Data Scientist - Experience: 4-6 years 6. Senior Backend Engineer - Experience: 8-10 years 7. QA Engineer (Manual & Automation) - Experience: 1-2 years 8. Senior Data Engineer (Azure) - Experience: 6+ years 9. Senior DevOps Engineer - Experience: 2 years 10. Xamarin Developer - Experience: 5+ years 11. Senior .Net Developer - Experience: 3-6 years Join us on the SculptSoft Voyage and let's create a successful professional journey together!,

The AI & Automation Analyst at SingleStore plays a crucial role within the Analytics, Enterprise Tech, and AI Enablement team, reporting to the head of Digital and AI Transformation. You will be an integral part of the new AI & Automation Center of Excellence, contributing to essential AI and automation solutions. Working collaboratively with various teams including analytics, engineering, business, and IT, you will be involved in designing and implementing initiatives that foster innovation, streamline operations, and enhance data-driven decision making. Your utilization of cutting-edge AI and automation technologies will be instrumental in addressing complex challenges, supporting SingleStore's enterprise digital transformation, and facilitating rapid AI adoption. Your efforts will not only drive immediate business successes but also pave the way for the future enhancement of operational and technical capabilities. In this role, your responsibilities will include engaging with internal stakeholders from different business units and functional departments to gather requirements and translate them into actionable AI and automation initiatives. You will collaborate closely with data scientists, engineers, and IT professionals to design, build, and implement scalable AI-driven solutions. Identifying and analyzing opportunities for process optimization, business automation, and operational improvement will be a key aspect of your role. You will lead the testing, validation, and iteration of AI and automation projects to ensure their robust performance, accuracy, and scalability in real-world environments. Monitoring implemented solutions, collecting feedback, and driving ongoing improvements while keeping abreast of advancements in AI technologies and best practices will be vital. Maintaining comprehensive technical documentation, preparing regular progress reports, and upholding best practices in data privacy, regulatory compliance, and ethical AI usage are also essential components of this position. **Required Qualifications:** - Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. - Minimum of 2 years of experience in AI, machine learning, data science, data analysis, or automation roles. - Proficiency in at least one programming language (e.g., Python) and experience using data analysis libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. - Strong understanding of data analysis, statistical concepts, and data visualization techniques. - Familiarity with data processing tools and platforms (e.g., SQL). - Ability to distill complex data into actionable insights and communicate technical concepts clearly to diverse audiences. - Experience working in collaborative, cross-functional teams. - Excellent stakeholder communication and expectation management skills. - Eagerness to learn and adapt in a rapidly evolving technical environment. **Preferred Qualifications:** - Experience in SaaS/subscription-based business models. - Familiarity with business systems (e.g., Salesforce, Netsuite). - Hands-on experience integrating AI and Automation into both modern and legacy systems. - Demonstrable skills in problem-solving, project management, and continuous improvement in a growth-focused environment. **Benefits:** **Company Wide:** - Technology stipend for new employees. - Monthly cell phone and internet stipend. - Health and wellness benefits. - In-office catered lunches (where applicable) and monthly Grubhub credit. - Company and team events. - Flexible time off and volunteer time off. - Stock options. **Country Specific (United States):** - Comprehensive health benefits (medical, dental, vision). - 401(k) retirement plan. As SingleStore has employees in multiple countries, some benefits may vary to ensure equitable perks and benefits across all locations. **About SingleStore:** SingleStore provides a cloud-native database offering speed and scalability to power data-intensive applications worldwide. Their distributed SQL database unifies transactional and analytical workloads, enabling leaders to deliver exceptional, real-time data experiences for customers. SingleStore, headquartered in San Francisco with offices across North America, Europe, and Asia, is venture-backed. **Diversity & Inclusion:** SingleStore is committed to diversity and inclusion, valuing individuals who thrive in diverse teams and bring a broad range of perspectives to the organization.,

As a member of our global team, you will play a crucial role in fostering scientific excellence in the field of digital biomarkers and endpoints within the Advanced Data Science team of the Data Sciences organization. Your primary responsibilities will include leading the identification, development, and implementation of innovative digital endpoints and outcome measures across various clinical trials and life cycle management programs. By collaborating closely with the Global Digital Health organization, you will be instrumental in designing and validating algorithms that extract clinically relevant insights from a diverse range of digital health data sources, such as wearables, sensors, and apps. Your expertise will ensure scientific rigor, clinical validity, and regulatory compliance in all aspects of digital health technology integration. As a subject matter expert, you will be instrumental in incorporating digital health technologies into evidence generation strategies, thereby promoting their adoption in clinical trials and medical practice. Your contributions to key regulatory filings and publications will advocate for the widespread acceptance of digital endpoints within the global R&D community. By staying abreast of emerging trends, you will continually introduce innovative solutions to enhance patient care and clinical research. Your leadership will drive transformational efforts aimed at unlocking the full potential of Digital Health Technologies. Qualified candidates will possess a PhD in a quantitative natural science or medical discipline with a focus on large-scale data analysis, along with a minimum of 7 years of relevant experience in the pharmaceutical or related industry. A proven track record in designing and validating digital endpoints or biomarkers for clinical applications is essential, as is hands-on experience with data derived from digital health technologies like wearables and mobile platforms. Proficiency in algorithm development and deployment in clinical or real-world settings, coupled with a solid understanding of digital biomarker/endpoint development, psychometric and statistical validation, and regulatory considerations is required. Candidates should also demonstrate strong expertise in algorithm development, signal processing, and AI/ML methods as applied to digital health data. Excellent stakeholder management skills, the ability to navigate complex organizational structures effectively, and outstanding communication and scientific writing abilities are also essential qualities for this role. This role is based in Bangalore & Hyderabad, and offers a unique opportunity to work in a diverse, inclusive, and flexible environment that fosters personal development and career advancement on a global scale. Join us in our mission to create a culture of inclusion and belonging that empowers individuals to make a meaningful impact and contribute to human progress through innovation and discovery. Apply now to be a part of a team dedicated to Sparking Discovery and Elevating Humanity!,

The Data Lead for the AMEA (Asia, Middle East, and Africa) and India region holds a pivotal leadership position responsible for overseeing data management, governance, analytics, and strategy initiatives across the region. Reporting directly to the CIO of AMEA & India, you will collaborate closely with the Global Business Units (GBUs) and support functions to ensure the effective and ethical utilization of data in driving business growth, operational efficiency, and informed decision-making. This role demands a forward-thinking leader with profound expertise in data science, architecture, and governance, complemented by strong leadership and communication abilities. Your primary responsibilities will revolve around the following key areas: **Data Strategy and Governance** Develop and execute a comprehensive data strategy aligned with both the Group's data strategy and the growth plans of the AMEA & India region. Implement the Group Data Policy throughout the AMEA & India region. Establish data governance policies to uphold data quality, privacy, and security across all data assets. Collaborate with regional and global stakeholders to standardize data practices and standards across the AMEA organization. Oversee the development and maintenance of data architecture and infrastructure to ensure scalability and robustness. Monitor regulatory compliance concerning data privacy and security, ensuring adherence to applicable laws and regulations. **Data Management** Lead the design, implementation, and management of data management systems and processes encompassing data warehousing, data lakes, and data integration platforms. Ensure the accurate and timely collection, storage, and retrieval of data from diverse sources across the AMEA region. Implement best practices for data lifecycle management, including retention, archiving, and disposal. Manage the regional data team, comprising data analysts, data scientists, and data engineers, to ensure alignment with the organization's data strategy and objectives. Ensure that data within the region is collected, stored, and analyzed in compliance with data privacy laws and regulations. Identify and prioritize data-related opportunities and risks within the region, collaborating with executives and business leaders to devise data-driven solutions. Promote a data culture within the region by educating and training employees on effective data use and fostering interdepartmental collaboration. Ensure the digital and data integration of newly acquired companies and the data disintegration of sold entities. **Data Analytics and Insights** Drive the development and deployment of advanced analytics and business intelligence solutions to facilitate data-driven decision-making. Lead a team of data scientists, analysts, and engineers to derive actionable insights from data, enabling informed decision-making by business leaders. Promote a culture of data literacy and data-driven innovation across the organization. **Leadership and Collaboration** Provide visionary leadership to the data team by setting clear goals, expectations, and performance metrics. Collaborate with senior executives and business leaders within the GBUs and support functions to identify data-driven opportunities and challenges. Work with the entities Data Leads to ensure consistency in data policies, standards, and procedures across the organization. Stay abreast of the latest trends and technologies in the data field, identifying opportunities to leverage emerging technologies for improved data-driven decision-making in the region. Cultivate and maintain strong relationships with external partners, vendors, and industry experts to remain informed about emerging trends and technologies. **Qualifications** - Master's degree in Data Science, Computer Science, Information Technology, or a related field. - Minimum of 10 years of experience in data management, analytics, or a related field, with at least 5 years in a senior leadership role. - Proven track record in developing and executing data strategies that drive business value. - Profound knowledge of data governance, architecture, security, and regulatory compliance. - Strong expertise in data analytics, machine learning, and AI. - Excellent leadership, communication, and interpersonal skills. - Ability to thrive in a diverse and multicultural environment. **Skills and Competencies** - Strategic Vision - Technical Expertise - Leadership - Communication - Collaboration - Problem-Solving - Analytical Skills - Strategic Thinking - Leadership Skills - Communication Skills - Change Management Skills - Business Acumen This role reports to the CIO of AMEA & India and is based in Pune, India, under the GBU Renewables division of ENGIE Energy India Private Limited. The ideal candidate should possess a wealth of experience, with a seniority level exceeding 15 years, and hold a Master's Degree education level.,

You will be joining CT Group of Institutions as a full-time Assistant Professor in Computer Science Engineering, based in Jalandhar. Your primary responsibilities will include teaching both undergraduate and postgraduate courses, designing and enhancing curriculum content, and carrying out research in specialized areas such as Data Science, Cybersecurity, and Programming. In addition to this, you will play a pivotal role in guiding and supporting students, publishing research papers, and actively contributing to the academic and administrative functions of the department. To excel in this role, you should possess a strong foundation in Computer Science, Data Science, and Cybersecurity, along with advanced skills in Programming and Curriculum Development. Your ability to deliver high-quality teaching, provide effective mentorship, and engage in research endeavors will be crucial. While a Doctoral degree (Ph.D.) in Computer Science Engineering or a related field is preferred, candidates with substantial experience and expertise in the domain will also be considered. Furthermore, your communication and interpersonal skills should be exceptional to effectively interact with students, colleagues, and other stakeholders. Prior experience in a similar academic position will be advantageous in successfully fulfilling the requirements of this role. This position offers you the opportunity to be a part of a dynamic educational environment that emphasizes excellence and innovation in education and research.,

Are you ready to make it happen at Mondelz International Join our mission to lead the future of snacking and make it with pride. Together with analytics team leaders, you will support our business by providing excellent data models to uncover trends that can drive long-term business results. In this role, you will work closely with the business leadership team to execute the analytics agenda. Your responsibilities will include identifying and incubating best-in-class external partners to drive delivery on strategic projects, developing custom models/algorithms to uncover signals/patterns and trends that drive long-term business performance, and executing the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver. To excel in this role, you should possess a desire to drive your future and accelerate your career. You should have experience in using data analysis to make recommendations to senior leaders, technical experience in roles focusing on best-in-class analytics practices, experience deploying new analytical approaches in a complex and highly matrixed organization, and be savvy in using analytics techniques to create business impacts. As part of the Global MSC (Mondelez Supply Chain) Data & Analytics team, you will play a key technical leadership role in developing the cutting-edge Supply Chain Data Product ecosystem. Your responsibilities will involve designing, building, and automating data ingestion, harmonization, and transformation processes to drive advanced analytics, reporting, and insights for optimizing Supply Chain performance across the organization. You should bring expertise in SAP data, including hands-on experience in extracting, transforming, and modeling data from SAP ECC/S4HANA and SAP BW/HANA. Proficiency in cloud data engineering with a focus on Google Cloud Platform (GCP) is essential, along with experience in data pipeline development, BI & Analytics enablement, and ideally hands-on experience with Databricks and system monitoring & optimization. Additionally, you should have excellent communication and collaboration skills, experience delegating work and guiding team members through technical challenges, the ability to thrive in a fast-paced setting, strong problem-solving skills within the Supply Chain domain, and experience working in Agile development environments with a Product mindset. To qualify for this role, you should hold a Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, Engineering, or a related field, along with at least 6 years of hands-on experience in data engineering, data warehousing, or a similar technical role, preferably in CPG or manufacturing with a focus on Supply Chain data. If you are looking for a challenging yet rewarding opportunity to drive innovation in the snacking industry, this role at Mondelz International might be the perfect fit for you. Join our diverse community of makers and bakers who are energized for growth and committed to empowering people to snack right with the right snack, for the right moment, made the right way.,

As an AI Decision Science Consultant in the Life Sciences practice of Accenture Strategy & Consulting's Global Network - Data & AI team, you will have the opportunity to work on high-visibility projects with top Pharma clients around the globe. You will collaborate with leaders in strategy, industry experts, and business intelligence professionals to shape innovative solutions leveraging emerging technologies. Your role will involve supporting the delivery of consulting projects for global clients, encompassing strategy, implementation, process design, and change management. In this role, you will work both independently and as part of small to medium-sized teams, utilizing a range of skills from Data Engineering to Data Science. You will be responsible for developing assets, methodologies, research, and white papers to be utilized by the team and the wider community. Projects will span across areas such as Data Modeling, Data Engineering, Data Visualization, and Data Science, allowing you to acquire new skills applicable across various industry groups. Additionally, you will support the development of strategies and operating models for specific business units, assessing competitive responses and implementation readiness. Presentations to clients or known audiences on functional aspects of your domain may also be part of your responsibilities. This role provides personalized training modules to enhance your strategy & consulting acumen, industry knowledge, and capabilities, fostering a culture committed to accelerating equality and encouraging boundaryless collaboration across the organization.,

The Manager, Intelligent Automation and RPA will lead the development and scaling of Intelligent Automation (IA) capability to support the organization's growing analytics and intelligent automation demand. Responsibilities for this role will include defining and shaping the global IA demand pipeline across all of Supply Chain functions, prioritizing demands, and completing discovery and feasibility assessment for each opportunity. The ideal candidate for this role will understand how various Intelligent Automation solutions integrate with each other as well as be able to identify the appropriate combination of IA solutions to solve specific business problems that drive the greatest business value. These solutions include but are not limited to Process Excellence, Robotic Process Automation, Optical Character Recognition, and Artificial Intelligence. He/she should be aware of current and future market and technology developments inside and outside of the Intelligent Automation space through offerings, white papers, blogs, upskilling, and learning opportunities. Key Responsibilities: - Lead and own end-to-end lifecycle of Intelligent Automation capability, focusing heavily on the process discovery aspects to build IA pipeline like opportunity assessment, business case analysis, feasibility assessment, and active engagement with stakeholders - Drive roadshows around the Supply Chain organization to spread awareness around IA benefits - Partner with cross-functional SMEs to develop automation business cases and establish KPIs to measure process improvements - Gather, document, and analyze business requirements, process workflows, and data to identify areas for process improvement and automation - Develop comprehensive business and functional requirements documentation - Evaluate process complexity and support technical feasibility assessment - Provide regular updates on assessment progress and potential road blockers - Partner with the IT teams to deliver a stable and scalable fit-for-purpose IA solutions and provide inputs on refining existing implementation framework - Serve as the primary point of escalation for production issues or other roadblocks faced during implementation of intelligent automation solutions - Review the work of analysts and external partners to ensure the highest quality of work; provide coaching, feedback, and mentorship to team members Required Qualifications: - Bachelor of Science or Bachelor of Engineering at a minimum - Minimum of 8-10 years of business experience with at least 3-5 years of Supply Chain, Intelligent Automation, or relevant functional experience required - Prior consulting experience required - 3-5 years of experience implementing automation capabilities, including robotics, workflow management, OCR, virtual agents, natural language processing, machine learning, or emerging technologies - Experience delivering intelligent automation solutions, including discovery and requirements definition, solution architecture and design, development, testing, and production release Desired Qualifications: - At least one year of direct people management / leadership experience - Certification within RPA domain is highly preferred (e.g., UI Path) - Experience in implementing automation technologies within a CPG business environment is preferred - Understanding of process improvement methodologies including lean thinking, continuous improvement is preferred - Hands-on technical knowledge of data science platforms and software technology as it is applied to business process is required - Experience in working with Microsoft Azure stack is preferred - Experience with acquisitions and divestitures is a plus If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.,

As an Engineer 4 specializing in Machine Learning at Comcast, you will be a crucial part of our international engineering team. Your primary responsibility will involve designing, developing, and implementing advanced time series forecasting models to predict future trends based on historical data. Your expertise will be pivotal in creating cutting-edge solutions that drive innovation and enhance customer experiences. Key Responsibilities: - Lead the design and development of complex time series forecasting models utilizing various techniques such as ARIMA, Exponential Smoothing, Seasonal Decomposition, Prophet, LSTM networks, and other advanced algorithms tailored to meet business requirements. - Conduct in-depth analysis of large volumes of time series data to identify patterns, trends, seasonality, and anomalies. - Fine-tune LLM models and focus on time series models to optimize performance. - Prototype and create solutions for ML/LLM operations and Applied AI. - Supervise a team of data scientists and engineers dedicated to time series forecasting projects. - Offer technical guidance, mentorship, and knowledge sharing on time series analysis techniques and best practices to team members. At Comcast, we value employees who embody the following principles: - Embrace our Operating Principles as guidelines for your work. - Prioritize the customer experience by consistently putting customers first and providing seamless digital options. - Stay informed and enthusiastic about our technology, products, and services to effectively advocate for them. - Foster teamwork and remain open to new ideas to achieve significant milestones together. - Participate actively in the Net Promoter System, contributing to employee and customer feedback to enhance our services. - Drive results, growth, respect inclusion and diversity, and act in the best interests of all stakeholders. Educational Requirement: Bachelor's Degree While a Bachelor's Degree is preferred, Comcast may also consider candidates with a combination of coursework and experience or significant related professional experience. Relevant Work Experience: 7-10 Years Join us at Comcast and be part of our dynamic team dedicated to revolutionizing the media and technology industry. Fast-forward your career with us and contribute to creating exceptional entertainment and online experiences for millions of customers worldwide.,

About Position: We are conducting an in-person hiring drive for the position of Mlops / Data Science in Pune & Bengaluru on 19th July 2025.Interview Location is mentioned below: Pune Persistent Systems, Veda Complex, Rigveda-Yajurveda-Samaveda-Atharvaveda Plot No. 39, Phase I, Rajiv Gandhi Information Technology Park, Hinjawadi, Pune, 411057 Bangalore - Persistent Systems, The Cube at Karle Town Center Rd, DadaMastan Layout, Manayata Tech Park, Nagavara, Bengaluru, Karnataka 560024 We are looking for an experienced and talented Data Science to join our growing data competency team. The ideal candidate will have a strong background in working with GEN AI , ML ,LangChain, LangGraph, Mlops Architecture Strategy, Prompt engineering. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data pipelines and analytics. Role: Mlops, Data Science Job Location: All PSL Location Experience: 5+ Years Job Type: Full Time Employment What You'll Do: Design, build, and manage scalable ML model deployment pipelines (CI/CD for ML). Automate model training, validation, monitoring, and retraining workflows. Implement model governance, versioning, and reproducibility best practices. Collaborate with data scientists, engineers, and product teams to operationalize ML solutions. Ensure robust monitoring and performance tuning of deployed models Expertise You'll Bring: Strong experience with MLOps tools & frameworks (MLflow, Kubeflow, SageMaker, Vertex AI, etc.). Proficient in containerization (Docker, Kubernetes). Good knowledge of cloud platforms (AWS, Azure, or GCP). Expertise in Python and familiarity with ML libraries (TensorFlow, PyTorch, scikit-learn). Solid understanding of CI/CD, infrastructure as code, and automation tools. Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry's best Let's unleash your full potential at Persistent "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

The ideal candidate will identify trends, patterns, and actionable insights to support business decisions. Proficiency in SQL, Excel, and data visualization tools like Power BI or Tableau is essential.

About the Role: We are looking for a highly skilled and motivated Data Scientist with 35 years of experience to join our Data Innovation team. The ideal candidate will have strong analytical skills, hands-on experience in Computer Vision and Large Language Models (LLMs), and a proven track record of turning complex data into actionable insights and intelligent solutions. This role will involve working on high-impact AI solutions for unstructured data, including images and documents. Designation – Data Scientist Key Responsibilities: Design, develop, and deploy models for computer vision tasks such as object detection, image classification, OCR, segmentation, etc. Build and fine-tune LLM-based pipelines for tasks such as information extraction, document summarization, chat-based interfaces, and automated reasoning. Work closely with cross-functional teams (engineering, product, business) to translate business problems into data science solutions. Conduct exploratory data analysis, statistical modelling, and feature engineering across diverse data sources. Evaluate model performance using appropriate metrics and iterate for improvement. Stay up to date with the latest research and advancements in AI/ML, computer vision, and NLP. Required Qualifications: Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related fields. 3–5 years of hands-on experience in Data Science or Machine Learning roles. Strong proficiency in Python and ML libraries such as scikit-learn, pandas, PyTorch/TensorFlow, OpenCV, Langchain etc. Experience with Computer Vision frameworks (e.g., YOLO, Detectron2, MM Detection) and LLMs (e.g., Hugging Face Transformers, Lang Chain, LLaMA, GPT). Experience with real-world model deployment and evaluation. Strong grasp of machine learning concepts, statistical analysis, and data manipulation. Excellent problem-solving, communication, and stakeholder collaboration skills. Good to have: Exposure to the lending, finance, or banking domain (e.g., credit scoring, income estimation, fraud detection). Experience with document AI or multi-modal AI systems. Familiarity with cloud platforms (AWS/GCP/Azure) and MLops tools. Experience working with OCR engines (Tesseract, PaddleOCR, etc.) and integrating CV+LLM pipelines. Understanding of RAG pipelines, fine-tuning of open-source LLMs, or prompt engineering. Location – Ahmedabad (Onsite) Experience – 3 to 5 Years

EVOASTRA VENTURES PVT LTD is looking for Data Scientist Intern to join our dynamic team and embark on a rewarding career journey. Learning : Interns are there to learn and gain hands - on experience in a particular field or industry. They may assist with various tasks and projects, shadow experienced professionals, and participate in training sessions. Project Work : Interns often work on specific projects or tasks that align with their educational background and career interests. These projects can vary widely depending on the company and the internship's focus. Supervision : Interns typically report to a supervisor or mentor who provides guidance, sets expectations, and evaluates their performance. Networking : Internships provide opportunities for networking and building relationships within the industry, which can be valuable for future career opportunities. Skill Development : Interns can develop and enhance their skills, including technical, communication, problem - solving, and teamwork skills.

EVOASTRA VENTURES PVT LTD is looking for Machine Learning Engineer Intern to join our dynamic team and embark on a rewarding career journey. Support machine learning initiatives, develop and implement ML models, perform model training, testing, and deployment, collaborate with data scientists and engineers, ensure model accuracy and scalability, and gain hands - on experience in ML techniques and tools. Assist in the optimization of ML workflows and processes.

Analytics Software Developer About the team ZF Wind Power puts wind energy in motion! The ZF Wind Power Business Unit is part of ZF group which is known as one of the worlds leading automotive suppliers. As wind turbines continue to grow, we are continuously pushed outside of our engineering boundaries, which makes it a challenging engineering environment to work in. What you can look forward to as Analytics Software Engineer(m/f/d): Design, development, and maintenance of analytics products within the business unit test Systems of ZF Industrial Technology Division Contribution to advanced analytics products and projects by developing softwarecomponents based on coding best practices and standards Implementation of machine learning techniques and integration in existing solutions Continuous improvement of agile development processes and automation of qualityinsurance mechanisms Improvement of existing solutions and approaches in interdisciplinary teams and collaboration with data scientists and analysts to understand business requirements and translate them into the technical specifications. Your profile as Analytics Software Engineer Degree in computer science or mechanical engineering with focus on advancedanalytics in manufacturing. 3+ years professional experience with machine learning techniques applied in productive environment and good understanding of manufacturing as well as testing processes. Proven experience in software development with at least one high-level programminglanguage (e.g., Python) and know-how in usage of APIs at scale. Professional know-how in agile project management, with good understanding ofDevOps processes. Excellent problem-solving skills with the ability to communicate complex matters to allstakeholders.