1646 Clustering Jobs - Page 46

Job Summary: We are looking for a highly motivated and analytical Data Scientist / Machine Learning (ML) Engineer / AI Specialist with 1.5 -2 years of experience in Health data analysis, particularly with data sourced from wearable devices such as smartwatches and fitness trackers. The ideal candidate will be proficient in developing data models, analyzing complex datasets, and translating insights into actionable strategies that enhance health-related applications. Key Responsibilities: Develop and implement data models tailored to health data from wearable devices. Stay updated on industry trends and emerging technologies in health data analytics. Ensure data integrity and security throughout the analysis process , correlations relevant to health metrics. Analyze large datasets to extract actionable insights using statistical methods and machine learning techniques. Develop, train, test, and deploy machine learning models for classification, regression, clustering, NLP, recommendation, or computer vision tasks. Collaborate with cross-functional teams including product, engineering, and domain experts to define problems and deliver solutions. Design and build scalable ML pipelines for model development and deployment. Conduct exploratory data analysis (EDA), data wrangling, feature engineering, and model validation. Monitor model performance in production and iterate based on feedback and data drift. Stay up to date with the latest research and trends in machine learning, deep learning, and AI. Document processes, code, and methodologies to ensure reproducibility and collaboration. Required Qualifications: Bachelor's or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field. 1.5-2 years of experience in data analysis, preferably within the health tech sector. Strong knowledge of Python or R and libraries such as NumPy, pandas, scikit-learn, TensorFlow, PyTorch, or XGBoost. Strong experience with data modeling, machine learning algorithms, and statistical analysis. Familiarity with health data privacy regulations (e.g., HIPAA) and data visualization tools (e.g., Tableau, Power BI). Proficiency in SQL and experience working with large-scale data systems (e.g., Spark, Hadoop, BigQuery, Snowflake). Ability to clearly communicate complex technical concepts to both technical and non-technical audiences. Experience with version control tools (e.g., Git) and ML pipeline tools (e.g., MLflow, Airflow, Kubeflow). Experience deploying models in cloud environments (AWS, GCP, Azure). Knowledge of NLP (e.g., Transformers, LLMs), computer vision, or reinforcement learning. Familiarity with MLOps, CI/CD for ML, and model monitoring tools. Experience - 1.5 - 2 years (Only Local Candidates) Location - Mohali Phase 8b Show more Show less

Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience. 2 years of experience in program management. Experience in data analysis, database querying (e.g., SQL), and data visualization (dashboards/reports). Preferred qualifications: Experience in SQL, Program Management, Analysis, Data Visualization, Cross-Functional Collaboration. Experience working with statistics and Machine Learning such as Clustering, Supervised Learning. Familiarity with Data Center Technology or Supply Chain Space. About The Job A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Partner with stakeholders to deeply understand their data requirements and collaboratively design actionable technical solutions and strategies. Create and maintain impactful dashboards and reports to visualize data and effectively communicate key findings and recommendations to stakeholders. Leverage data insights to identify opportunities for improvement, influence product and process enhancements, and drive the implementation of data-driven solutions in collaboration with engineering and product teams to scale impact across Alphabet's Supply Chain. Utilize strong SQL skills to extract, transform, and analyze large datasets, enabling both ad-hoc investigations and automated reporting for the Supply Chain Planning function and beyond. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Basic qualification: 3 to 7 years of dedicated experience as an MQ Administrator Strong working knowledge of IBM MQ v8.x/v9.x Strong understanding of IBM MQ architecture, clustering, and high-availability setup Proficiency in scripting for automation Solid understanding of messaging protocols(MQTT, AMQP) and formats(JSON, XML) Technical Skills: Install, configure, upgrade, and maintain IBM MQ (WebSphere MQ) on Linux, AIX, and Windows platforms. Administer and manage MQ objects (queues, topics, channels, listeners) Implement and manage MQ security including SSL/TLS, user access control, and auditing Monitor and troubleshoot MQ issues, ensuring high availability and performance Plan and perform MQ version upgrades, patches, and migrations Roles and Responsibilities: Minimum 3 to 5 years related experience as IBM MQ Administrator for distributed platforms. Must be familiar with Linux and MQ commands plus must have depth knowledge of MQ filesystems. Candidate must keep or improve stability and reliability of MQ environments and proactively react to grow/risks/issues. Keep the MQ current version maintain the most possible uptime. Must engineer, build, deploy and manage large scale enterprise solutions for our messaging environment. Experience with architecture, installing MQ on distributing platforms, patching, upgrading, configuring, and administering queue mangers and define MQ objects, triggering, and basic distributing messaging, creating different Queue Manager including Alias/Local/Remote, Cluster Queue Manager and configuring MQ Client. Understanding of IBM MQ recovery, restart activities and events for monitoring. Familiar with different MQ utilities including the dead-letter queue utility and problem determination. Consults with end users, leadership, vendors, and technicians to assess system and non-functional requirements. Proficient in IBM MQ version 9.0 Understanding the concepts of Queues, Queue Managers & MQ messages Understand and differentiate between an IBM MQ queue manager and IBM MQ client. Understand to determine the cause of undelivered messages using a reliable methodology and to troubleshoot common problems. Understanding on how to create and change queues and place and retrieve messages from a queue. Knowledge of how to define channel authentication and connection authentication records. In-depth knowledge of IBM MQ concepts, including message queues, topics and channels Experience with MQ administration tools & commands, IBM MQ Security Knowledge of monitoring and alerting, and use of performance monitoring tools Proficiency in troubleshooting and problem-solving techniques for messaging systems Experience working with MQ developer tools and APIs Working knowledge of operating systems like Linux/Unix Knowledge of TIBCO and Kafka preferred 3 to 7 years of dedicated experience as an MQ Administrator Strong working knowledge of IBM MQ v8.x/v9.x Strong understanding of IBM MQ architecture, clustering, and high-availability setup Proficiency in scripting for automation Solid understanding of messaging protocols(MQTT, AMQP) and formats(JSON, XML) Technical Skills: Install, configure, upgrade, and maintain IBM MQ (WebSphere MQ) on Linux, AIX, and Windows platforms. Administer and manage MQ objects (queues, topics, channels, listeners) Implement and manage MQ security including SSL/TLS, user access control, and auditing Monitor and troubleshoot MQ issues, ensuring high availability and performance Plan and perform MQ version upgrades, patches, and migrations Roles and Responsibilities: Minimum 3 to 5 years related experience as IBM MQ Administrator for distributed platforms. Must be familiar with Linux and MQ commands plus must have depth knowledge of MQ filesystems. Candidate must keep or improve stability and reliability of MQ environments and proactively react to grow/risks/issues. Keep the MQ current version maintain the most possible uptime. Must engineer, build, deploy and manage large scale enterprise solutions for our messaging environment. Experience with architecture, installing MQ on distributing platforms, patching, upgrading, configuring, and administering queue mangers and define MQ objects, triggering, and basic distributing messaging, creating different Queue Manager including Alias/Local/Remote, Cluster Queue Manager and configuring MQ Client. Understanding of IBM MQ recovery, restart activities and events for monitoring. Familiar with different MQ utilities including the dead-letter queue utility and problem determination. Consults with end users, leadership, vendors, and technicians to assess system and non-functional requirements. Proficient in IBM MQ version 9.0 Understanding the concepts of Queues, Queue Managers & MQ messages Understand and differentiate between an IBM MQ queue manager and IBM MQ client. Understand to determine the cause of undelivered messages using a reliable methodology and to troubleshoot common problems. Understanding on how to create and change queues and place and retrieve messages from a queue. Knowledge of how to define channel authentication and connection authentication records. In-depth knowledge of IBM MQ concepts, including message queues, topics and channels Experience with MQ administration tools & commands, IBM MQ Security Knowledge of monitoring and alerting, and use of performance monitoring tools Proficiency in troubleshooting and problem-solving techniques for messaging systems Experience working with MQ developer tools and APIs Working knowledge of operating systems like Linux/Unix Knowledge of TIBCO and Kafka preferred Show more Show less

Job Role: Senior Data Analytics Engineer – GCP Experience: 5+ years Location: Noida & Bhubaneswar We are seeking a highly skilled Senior Data Analytics Specialist with deep expertise in Google Cloud Platform (GCP) tools to join our dynamic team. The ideal candidate will have strong experience in data analytics, business intelligence , and advanced data processing on GCP, specifically with Firebase Analytics , GA4 , and BigQuery . Key Responsibilities: Lead and execute data analytics projects leveraging GCP services, primarily focusing on Firebase Analytics and Google Analytics 4 (GA4). Design, develop, and optimize complex SQL queries and scripts in BigQuery for large-scale data processing. Build and maintain interactive dashboards and data models using Looker or Looker Studio. Collaborate with cross-functional teams to implement custom event tracking and user journey analysis. Work with other GCP components such as Cloud Storage, Cloud Functions, Pub/Sub, and Dataflow to streamline data pipelines. Ensure compliance with data privacy and governance standards, including GDPR and CCPA. Analyze data to uncover trends, insights, and opportunities for business improvement. Communicate findings and recommendations clearly to stakeholders across technical and non-technical teams. Required Qualifications: 5 to 7 years of experience in data analytics, business intelligence, or a related domain. Proven expertise with Firebase Analytics and GA4, including custom event configuration and user behavior tracking. Advanced proficiency in BigQuery with experience in SQL scripting, query optimization, partitioning, and clustering. Hands-on experience with Looker or Looker Studio for dashboard creation and data visualization. Familiarity with additional GCP services such as Cloud Storage, Cloud Functions, Pub/Sub, and Dataflow is preferred. Strong understanding of data privacy laws and governance frameworks like GDPR and CCPA. Excellent analytical, problem-solving, and detail-oriented skills. Strong verbal and written communication skills with the ability to work collaboratively across teams. Preferred Qualifications: Google Cloud certifications such as Professional Data Engineer or Looker Business Analyst. Experience working with A/B testing frameworks and experimentation platforms. Background in product analytics or digital marketing analytics. Exceptional communication and stakeholder management skills. Show more Show less

Consultant - SystemsResponsible for ensuring all database system operational processes are managed according to established service level agreements. Specifically; DB2 UDB V 9 , 10, 11 Installations, Configurations and Administration .Should have strong experience on High availability (HA) and disaster recovery (DR) experience with DB2 HADR with TSA (tivoli system automation )Should have strong experience in Database restores including Redirected restores and backup concepts Good understanding in performance monitoring techniques and conduct performance checks to ensure the databases, and their associated applications, are continuing to support the existing Service LevelsHands on experience in Table range partition , Multi dimension clustering , Materialized query tables data movement utilities like IMPORT, LOAD, and EXPORT under high volume conditions.SQL Tuning using db2advisor and db2explain tools.Troubleshooting database issues using db2diag, db2pd, db2dart, db2support, db2top.Database performance tuning by configuring database and instance Parameters.Should have good knowledge on DB2 V10 and DB2 V11 new features Administration of database objects such as indexes, tables, views, constraints, stored procedures Administration of database usersCapacity Management and storage managementDesign, test, and optimize/tune RDBMS componentsContribute to design, maintenance, and documentation of integrated database security and components in relation to SOX and SAS70 complianceReview and assess new features or upgrades to existing RDBMS components as well as application database changesFor databases that may be supported in the future, reviews product literature to assess RDBMS differences and unique features. When possible, test new technologies and report resultsGood knowledge of ITIL processes with special attention to – incident, change, problem management, Database growth & capacity management for shared environment Troubleshooting hardware using tools like Netbackup, Avamar, Arago, Ansible Show more Show less

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Bengaluru, Karnataka, India . Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 3 years of customer-facing experience focused on translating customer needs into cloud solutions. Experience with SAP technologies (e.g., SAP HANA, SAP Netweaver, Solution Manager, SAP Business Suite, Business Warehouse, SAP Hybris, etc.), their architecture, and infrastructure. Experience with SAP Operating System (OS)/Database (DB) migrations, downtime optimizations, and backup strategies. Experience troubleshooting clients technical issues and working with engineering teams, sales, services, and customers. Preferred qualifications: MBA or Master's degree in Computer Science or Engineering field. Certification in Google Cloud. 5 years of experience in technical client service. Experience implementing projects for live SAP environments on public cloud, and architecting around core production concepts (e.g., sizing, high availability, disaster recovery, multi-tenancy, scale out and scale up architectures, clustering, etc.). Excellent communication, writing, presentation and problem-solving skills. About The Job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. As a SAP Cloud Consultant, you will work directly with Google’s most strategic customers on critical projects to provide management, consulting and technical advisory to customer engagements while working with client executives and key technical leaders to deploy solutions on Google’s Cloud Platform. You will work closely with Google's partners servicing customer accounts to manage projects, deliver consulting services, and provide technical guidance and best practice expertise. To be successful, you know how to navigate ambiguity, use your extensive experience working with cloud technologies, have technical depth and enjoy working with client executives. You also possess excellent communication and project management skills. Travel approximately 25% of the time for client engagements. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Work with customer technical leads, client executives, and partners to manage and deliver successful implementations of cloud solutions becoming a trusted advisor to decision makers throughout the engagement. Work with internal specialists, Product and Engineering teams to package best practices and lessons learned into thought leadership, methodologies and published assets. Interact with Sales teams, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on the field experience. Propose architectures for SAP products and manage the deployment of cloud based SAP solutions according to complex customer requirements and implementation best practices. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Project Role : Technology Delivery Lead Project Role Description : Manages the delivery of large, complex technology projects using appropriate frameworks and collaborating with sponsors to manage scope and risk. Drives profitability and continued success by managing service quality and cost and leading delivery. Proactively support sales through innovative solutions and delivery excellence. Must have skills : SAP SuccessFactors Recruiting Good to have skills : SAP SuccessFactors Learning Minimum 12 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Technology Delivery Lead, you will manage the delivery of large, complex technology projects using appropriate frameworks and collaborating with sponsors to manage scope and risk. Your role will involve driving profitability and continued success by managing service quality and cost and leading delivery. Additionally, you will proactively support sales through innovative solutions and delivery excellence. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Manage the delivery of large, complex technology projects using appropriate frameworks. - Collaborate with sponsors to manage scope and risk. - Drive profitability and continued success by managing service quality and cost. - Lead delivery and ensure delivery excellence. - Proactively support sales through innovative solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP SuccessFactors Recruiting. - Good To Have Skills: Experience with SAP SuccessFactors Learning. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 12 years of experience in SAP SuccessFactors Recruiting. - This position is based at our Kolkata office. - A 15 years full time education is required. 15 years full time education Show more Show less

The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Engineer solutions for High availability / clustering for business critical application services Engineer Storage solutions for cloud, container platforms Leveraging the standard CI/CD tools and process to enhance the automation frame work and transform the engineering qualification efforts in to continues integration and delivery. Instill Agile and developer culture Provide technologies and expertise to deliver resiliency for traditional and cloud native application services Enable SRE framework for the engineering process and tooling Ensure system/program vulnerabilities are actioned on timely manner. Provide assistance with a product or product component development within the technology domain Conduct product evaluations with vendors and recommend product customization for integration with systems Provide support to identify the root cause of issues and react to systems and application outages or networking issues Partner with development teams to identify engineering requirements and assist with defining application/system requirements and processes Create installation documentation, training materials, and deliver technical training to support the organization Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 8+ years of relevant experience in an Engineering role Knowledge on the foundational infrastructure services (Compute, Storage and Network, Database) Expertise on the CI/CD, DevOps tools and processes (Jenkins, Bitbucket),LightSpeed Experience in basic programming and database knowledge (Shell scripting,Java, Oracle) Knowledge of KAFKA messaging tool and TIBCO middleware system. Familiarity with agile methodologies / tools ( Jira, Confluence, Scrum, Kanban) Familiarity with Release On Demand Familiarity on the Cloud and Container technologies (Docker, Kubernetes) Consistently demonstrates clear and concise written and verbal communication Ability to work in a matrix environment and partner with virtual teams Ability to work independently, multi-task, and take ownership of various parts of a project or initiative Ability to work under pressure and manage to tight deadlines or unexpected changes in expectations or requirements. Proven track record of operational process change and improvement. Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Overview We are seeking a highly skilled and motivated Principal Systems Software Engineer with expertise in C#, C++, and Python to join our dynamic team. The ideal candidate will have a strong background in software architecture, system design, and development, with a focus on building scalable, high-performance solutions. This role involves leading the design and implementation of complex systems, mentoring team members, and contributing to cutting-edge projects that blend software engineering, data science, and machine learning. Spotfire is a visual data science platform combining visualizations and data science. Our product addresses complex problems that the human mind or computers can't solve alone. Users pose their questions; twist and refine to figure out the best path forward. Spotfire allows the user to deeply engage with the data in blending data wrangling and analytic workflows. Our product spans the intersection of data assets and business value, a vibrant place where technology moves fast and ease of use is key to success. We have engineering teams in Gothenburg (Sweden) and Pune (India). For more information: https://www.spotfire.com/ Key Responsibilities Plan, prioritize, and coordinate technical work while ensuring the integrity of diverse and significant projects. Own the analysis, conceptual design, and technical direction of complex projects, leveraging expertise in emerging trends and technologies. Apply software development methodologies, including design implementation, code reviews, automated testing, debugging, and integration. Architect and design scalable, high-performance systems using C#, C++, and Python. Develop core components, frameworks, and libraries to support enterprise-level applications. Collaborate with cross-functional teams to define technical requirements and deliver innovative solutions. Solve real-world problems using advanced software engineering techniques, including predictive modeling, classification, and clustering. Optimize codebases for performance, scalability, and maintainability. Mentor and guide junior engineers, fostering a culture of technical excellence and continuous learning. Conduct code reviews and ensure adherence to best practices in software development. Stay updated with advancements in software architecture, data science, and machine learning to drive innovation. Qualifications: Experience/Skills Must Have Programming: Expert-level proficiency in C# and C++ for system design and high-performance computing, and Python for data analysis and scripting. Software Architecture: Strong experience in designing and implementing scalable, distributed systems. Data Science: Familiarity with statistical methods, machine learning algorithms, and data visualization techniques. Big Data: Knowledge of distributed computing frameworks like Hadoop, Spark, or Dask is a plus. Database Management: Proficiency in SQL and NoSQL databases for data storage and retrieval. Version Control: Expertise in using Git for collaborative development. Strongly Preferred Experience in designing and deploying microservices-based architectures. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with containerization tools like Docker and orchestration tools like Kubernetes. Proven track record of leading technical teams and delivering complex projects. Formal Qualifications Minimum requirement: BE / BTech 12+ years of experience in software development Problem-Solving: Strong analytical and problem-solving skills with attention to detail. Communication: Excellent verbal and written communication skills to convey technical concepts to both technical and non-technical Ability to work under pressure and manage multiple tasks simultaneously. Pay & Benefits Summary Competitive salary and annual bonus Health Insurance, Life, and Accidental Insurance Tax Saving benefits like the NPS (National Pension Scheme) and the Voluntary Provident Fund. Health and Wellness Programs like "Live Well and earn rewards" and the Employee Assistance Program (EAP) Learning and development programs, Education Assistance Program Sick/casual leaves, public holidays, and paternal leave About Us: Cloud Software Group is one of the world’s largest cloud solution providers, serving more than 100 million users around the globe. When you join Cloud Software Group, you are making a difference for real people, each of whom count on our suite of cloud-based products to get work done — from anywhere. Members of our team will tell you that we value passion for technology and the courage to take risks. Everyone is empowered to learn, dream, and build the future of work. We are on the brink of another Cambrian leap -- a moment of immense evolution and growth. And we need your expertise and experience to do it. Now is the perfect time to move your skills to the cloud. Cloud Software Group is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, sex or gender, sexual orientation, gender identity, gender expression, ethnicity, national origin, ancestry, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth or related medical conditions (including lactation status), marital status, military service, protected veteran status, political activity or affiliation, taking or requesting statutorily protected leave and other protected classifications. If you need a reasonable accommodation due to a disability during any part of the application process, please email us at AskHR@cloud.com for assistance. Show more Show less

We are seeking a highly experienced and strategic Data Scientist to drive impactful data science initiatives across our organization. This role will focus on solving complex business problems by leveraging predictive and generative AI, agentic AI workflows, and large-scale data analytics. The ideal candidate will have a strong background in both data science and engineering, along with hands-on experience in deploying AI solutions in production environments. Job Description: Key Responsibilities Identify high-impact business opportunities through deep data exploration, EDA, and model prototyping Translate business problems into scientific formulations and design data science solutions accordingly Discover and curate relevant datasets (structured & unstructured) aligned with business goals Lead the extraction, transformation, and compilation of data across multiple sources using tools like SQL, R, and Python Conduct rigorous statistical analysis and experimentation, driving hypothesis formulation and validation Automate analytics and reporting processes to ensure scalability, reduce manual effort, and spot anomalies Develop predictive models to support brand, creative, and audience strategies Analyze and interpret data trends over time to deliver actionable business insights Implement and fine-tune models in production, working closely with ML engineers and developers Deploy, monitor, and optimize predictive and generative AI models at scale Build agentic AI workflows that use contextual and real-time data to produce relevant and validated insights Fine-tune foundation models (e.g., LLMs) using proprietary datasets from multiple sources Integrate and orchestrate data flows across APIs and live feeds to centralize access and accelerate insights Champion model governance and performance tracking over time Collaborate with cross-functional teams (Strategy, Creative, Engineering, Marketing) to align on goals and deliverables Mentor junior data scientists and contribute to knowledge sharing and best practices Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or related field 10+ years of professional experience in data science, including 3–5 years in a lead or principal role 2+ years of domain experience in marketing, creative advertising, or media agency context (highly preferred) Strong programming expertise in Python, with libraries such as pandas, NumPy, Matplotlib, Scikit-Learn, TensorFlow, PyTorch, and Keras Hands-on experience in machine learning and deep learning techniques (classification, regression, clustering, etc.) Expertise in both Predictive AI (Machine Learning / Deep Learning) and Generative AI solutions Experience with agentic AI workflows and reasoning models for insight generation Proficiency with cloud-based platforms like Azure ML, AWS Sagemaker, Azure OpenAI, AWS Bedrock, etc. Advanced SQL skills and experience working with structured and unstructured data Strong communication and leadership skills, with a proven ability to lead data science projects end-to-end Preferred Skills Experience building production-ready APIs or data pipelines for ML models Experience in NLP, LLM fine-tuning, and retrieval-augmented generation (RAG) Familiarity with MLOps and CI/CD workflows for model deployment and lifecycle management Strong stakeholder management and cross-functional collaboration skills Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent Show more Show less

We are seeking a highly experienced and strategic Data Scientist to drive impactful data science initiatives across our organization. This role will focus on solving complex business problems by leveraging predictive and generative AI, agentic AI workflows, and large-scale data analytics. The ideal candidate will have a strong background in both data science and engineering, along with hands-on experience in deploying AI solutions in production environments. Job Description: Key Responsibilities Identify high-impact business opportunities through deep data exploration, EDA, and model prototyping Translate business problems into scientific formulations and design data science solutions accordingly Discover and curate relevant datasets (structured & unstructured) aligned with business goals Lead the extraction, transformation, and compilation of data across multiple sources using tools like SQL, R, and Python Conduct rigorous statistical analysis and experimentation, driving hypothesis formulation and validation Automate analytics and reporting processes to ensure scalability, reduce manual effort, and spot anomalies Develop predictive models to support brand, creative, and audience strategies Analyze and interpret data trends over time to deliver actionable business insights Implement and fine-tune models in production, working closely with ML engineers and developers Deploy, monitor, and optimize predictive and generative AI models at scale Build agentic AI workflows that use contextual and real-time data to produce relevant and validated insights Fine-tune foundation models (e.g., LLMs) using proprietary datasets from multiple sources Integrate and orchestrate data flows across APIs and live feeds to centralize access and accelerate insights Champion model governance and performance tracking over time Collaborate with cross-functional teams (Strategy, Creative, Engineering, Marketing) to align on goals and deliverables Mentor junior data scientists and contribute to knowledge sharing and best practices Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or related field 10+ years of professional experience in data science, including 3–5 years in a lead or principal role 2+ years of domain experience in marketing, creative advertising, or media agency context (highly preferred) Strong programming expertise in Python, with libraries such as pandas, NumPy, Matplotlib, Scikit-Learn, TensorFlow, PyTorch, and Keras Hands-on experience in machine learning and deep learning techniques (classification, regression, clustering, etc.) Expertise in both Predictive AI (Machine Learning / Deep Learning) and Generative AI solutions Experience with agentic AI workflows and reasoning models for insight generation Proficiency with cloud-based platforms like Azure ML, AWS Sagemaker, Azure OpenAI, AWS Bedrock, etc. Advanced SQL skills and experience working with structured and unstructured data Strong communication and leadership skills, with a proven ability to lead data science projects end-to-end Preferred Skills Experience building production-ready APIs or data pipelines for ML models Experience in NLP, LLM fine-tuning, and retrieval-augmented generation (RAG) Familiarity with MLOps and CI/CD workflows for model deployment and lifecycle management Strong stakeholder management and cross-functional collaboration skills Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent Show more Show less

Management Level: Ind & Func AI Decision Science Analyst Level 11 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Professional & Technical Skills: Must have at least 2+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of NLP models, Large Language Models and applicability to industry data. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | AccentureQualification Experience: Must have at least 2+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

Management Level: - Ind & Func AI Decision Science Consultant Level 9 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Client Relationship Development Manage client expectations and develop trusted relationships Maintain strong communication with key stakeholders Act as a strategic advisor to clients on their data-driven marketing decisions Professional & Technical Skills: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Strong understanding of econometric/statistical modeling:regression analysis, hypothesis testing, multivariate analysis, time series, optimization Expertise in Azure ML, SQL, R, Python, PySpark Proficiency in non-linear optimization and resource optimization Familiarity with design patterns for deploying and maintaining ML models in production Strong command over marketing data and business processes in Retail and CPG Hands-on with tools like Excel, Word, PowerPoint for communication and documentation Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | Accenture Qualification Experience: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Microsoft SQL Server Administration Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Support Engineer, you will act as software detectives, providing a dynamic service identifying and solving issues within multiple components of critical business systems. Your day will involve troubleshooting, resolving technical issues, and collaborating with various teams to ensure system functionality and performance. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Ensure smooth operation of critical business systems.- Analyze and resolve technical issues efficiently.- Implement best practices for system performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server Administration.- Strong understanding of database management principles.- Experience in performance tuning and optimization.- Knowledge of backup and recovery procedures.- Good To Have Skills: Experience with Azure SQL Database. Additional Information:- The candidate should have a minimum of 5 years of experience in Microsoft SQL Server Administration.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Job Description Job summary: Our Firmwide Risk Function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment. Chase Consumer & Community Banking serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Types of risk that occur in consumer businesses include fraud, reputation, operational, credit, market and regulatory, among others. Join our Model Insights Team , a Center of Excellence within Consumer & Community Banking (CCB) Risk Modeling, committed to tracking of comprehensive health of machine learning models. We are responsible for sanity of model inputs and score performance tracking for CCB risk decision models. Team collaborates with model developers to identify and recommend potential opportunities for model calibration. We are constantly seeking for opportunities to enhance model performance tracking framework, with aim of providing feedback loop to risk strategies. We are seeking candidates who possess extensive knowledge of data science techniques, appreciation for data combined with of domain expertise, and a keen eye for detail and logic. It’s an opportunity to make an impact to model performance monitoring and governance practices for CCB risk models. Job Responsibilities Drive synergy in model performance tracking across different sub-lines of business. Enhance model performance framework to holistically capture model health, providing actionable insights to model users. Collaborate with model developers to identify potential opportunities for model calibration and conduct preliminary Root Cause Analysis in case of model performance decay. Design and build robust framework to monitor quality of model inputs. Explore opportunities to drive efficiency in model inputs and performance tracking through use of Large Language Model (LLM). Partner with teams across, Risk, Technology, Data Governance, and Control to support effective model performance management and insights. Deliver regular updates on model health to senior leadership of risk organization and the first line of defense. Required Qualifications, Capabilities, And Skills Advanced degree in Mathematics, Statistics, Computer Science, Operations Research, Econometrics, Physics, or a related quantitative field. Minimum of 3 years of experience in developing and managing predictive risk models in financial industry. Proficiency in programming languages such as Python, PySpark, and SQL, along with familiarity with cloud services like AWS SageMaker and Amazon EMR. Deep understanding of advanced machine learning algorithms (e.g. Decision Trees, Random Forest, XGBoost, Neural Networks, Clustering etc) Strong conceptual understanding of performance metrics used to monitor health of machine learning models. Fundamental understanding of the consumer lending business and risk management practices. Experience of working with large datasets with strong ability to analyze, interpret, and derive insights from data. Advanced problem-solving and analytical skills, with a keen attention to detail. Excellent communication skills, with the ability to convey complex information clearly and effectively to senior management. Preferred Qualifications, Capabilities, And Skills Experience of data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). Proven expertise in designing, building, and deploying production-quality machine learning models. Ability to effectively collaborate with multiple stakeholders on projects of strategic importance, ensuring alignment and successful outcomes. Basic level of proficiency in Tableau ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes. Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Python (Programming Language) Good to have skills : Oracle Procedural Language Extensions to SQL (PLSQL)Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Be involved in the end-to-end data management process. 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.- Develop and maintain data pipelines.- Ensure data quality throughout the data management process. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language).- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Python (Programming Language).- This position is based at our Gurugram office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft SQL Server Analysis Services (SSAS) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are aligned with business objectives and user needs, while maintaining a focus on quality and efficiency throughout the project lifecycle. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of milestones. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server Analysis Services (SSAS).- Strong understanding of data modeling and database design principles.- Experience with performance tuning and optimization of SQL queries.- Familiarity with ETL processes and data integration techniques.- Ability to create and manage multidimensional and tabular models. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft SQL Server Analysis Services (SSAS).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

S&C Global Network - AI - Marketing Growth Analytics (DS) - Consultant Management Level: - Ind & Func AI Decision Science Consultant Level 9 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Client Relationship Development Manage client expectations and develop trusted relationships Maintain strong communication with key stakeholders Act as a strategic advisor to clients on their data-driven marketing decisions Professional & Technical Skills: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization.3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients.Strong understanding of econometric/statistical modeling:regression analysis, hypothesis testing, multivariate analysis, time series, optimization Expertise in Azure ML, SQL, R, Python, PySpark Proficiency in non-linear optimization and resource optimization Familiarity with design patterns for deploying and maintaining ML models in production Strong command over marketing data and business processes in Retail and CPG Hands-on with tools like Excel, Word, PowerPoint for communication and documentation Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. Qualification Experience: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

Job Title : Data Scientist Location : Chennai, Bangalore, Hyderabad NP : Immediate - 15 days Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine Curious about the role? What your typical day would look like? As a Data Scientist, your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve: Analytical Translation: Translate complex business problems into sophisticated analytical structures, conceptualising solutions anchored in statistical and machine learning methodologies. Problem Solving: While technical proficiency in data manipulation, statistical modelling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital. Client Engagement: Establish a deep understanding of clients' business contexts, working closely to unravel intricate challenges and opportunities. Algorithmic Expertise: Develop and refine algorithms and models, sculpting them into powerful tools to surmount intricate business challenges. Quantitative Mastery: Conduct in-depth quantitative analyses, navigating vast datasets to extract meaningful insights that drive informed decision-making. Cross-Functional Collaboration: Collaborate seamlessly with multiple teams, including Consulting and Engineering, fostering relationships with diverse stakeholders to meet deadlines and bring Analytical Solutions to life What do we expect? 4 -7 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities. Good communication skills, both verbal and written Experience in Time Series Forecasting. Idea about other machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world problems Languages: Python, SQL Must-Have Skills: Time Series Forecasting You are important to us, let’s stay connected! Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry. Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities Show more Show less

A true partner within the business, our IT team works globally as one cohesive unit comprised of collaborative professionals who take pride in support and customer service. Core areas include solutions delivery and application development, network operations, workforce services and information services/knowledge management The Day-to-day Responsibilities Include But Not Limited To The Senior Database Manager will be assigned to work with one or more development project teams. In this role they will be expected to: The Senior Database Manager will be responsible for building, supporting and managing Database solutions within Amazon AWS, Microsoft Azure, and other Cloud environments. Working on Data related technologies including but not limited to Databricks, Datalake, Azure Data Factory, Azure Synapse Analytics, Azure Fabric, AWS Athena, AWS Glue, and other related services. Working with the Solutions Designer, Development Architect and third parties as appropriate, the engineer will be responsible for ensuring that a technical design document describing the technical architecture for the program/project is produced. Understand the business and application requirements and translate into a database and data design. Ensure that all technology selected for the program conforms to the organization’s technical long-term strategy. Be responsible for the availability, stability, recoverability and performance of the database environment by ensuring all systems are monitored, patched, and operating optimally. Design and develop complex SQL queries and appropriate database code such as stored procedures, triggers, functions to support complex business processes. Develop and deliver extensible/sustainable/quality database solutions based on defined business needs. Review and update stored procedures for optimal performance. Identify and correct performance bottlenecks related to SQL code. Recommend changes to the relational data model to solve performance issues with SQL code. Requires a solid understanding of relational database design and concepts. Perform code reviews, providing feedback in a timely manner. Incorporate feedback from code reviews as appropriate. Participate in the review of all database schema projects; provide feedback and identify impacts to existing environment. Monitor business data stored in production databases, ensuring integrity of the data is maintained. Responsible for developing, maintaining and deploying SSIS packages. Guide team and participate in release of all stored procedure projects; including release documentation. Maintain knowledge as new versions of SQL Server are released and leverage new functionality as appropriate. Proactively identify and act on opportunities to improve database systems and processes. Contribute to standards documentation for database coding practices. Prioritize multiple tasks so that aggressive deadlines are met. Provide ongoing suggestions for improvement and innovation within the department. Exhibit sound, methodical engineering judgment, and effectively manage trade-offs in a business environment. Maintain and exhibit knowledge of AWS RDS, Azure SQL and NOSQL database Provide after-hours support as required to address system outages and perform system updates/upgrades/modifications. Identify new processes or modify existing processes to improve efficiencies in the support and monitoring of the department’s production applications. Essential Traits B.S. Degree in Information Technology, Computer Science or a related discipline is preferred. MCDBA/Azure/AWS Certification preferred. 5-8 years of experience in database development and support in MS SQL Server environment. 3+ years working experience in deploying physical and cloud instances of SQL Server. 2+ year of working with PostgreSQL. Working Knowledge of Databricks administration and Datalake, is a plus. Working knowledge of noSQL database technology. (Mongo, Cosmos, Others) 3+ years of experience in scripting language like Powershell, VB Script, Python, or similar. Strong understanding of Security guidelines in Cloud environment. Open to work on Infrastructure projects and assist on Environment buildouts from Database and Data Analytics perspective. Experience in troubleshooting and resolving database integrity issues, performance issues, blocking & deadlocking issues, replication/log shipping issues, network/connectivity issues, security issues, etc. Experience in Performance Tuning, Query Optimization using SQL Monitor, Azure Tools Ability to detect and troubleshoot SQL Server related hardware resource contention such as CPU, memory, disk IO, etc. Solid acquaintance with windows server, security models, and storage components such as SAN. Knowledge of High Availability (HA) and Disaster Recovery (DR) options for SQL Server Advanced experience with TSQL language and stored procedures, transactional replication, multi node clustering, mirroring, etc. Knowledge of Data Warehousing and Column store databases. A broad understanding of enterprise-class Database technologies Extensive knowledge and experience with large scale client facing online systems Extensive knowledge and experience with Amazon AWS technologies Extensive knowledge and experience with Windows based technologies Ability to communicate and to interact effectively with co-workers and customers is required. Ability to work and adapt in a dynamic environment and recognize priority issues, escalating accordingly Experience with creating standards and documentation Ability to work both independently or as part of a project group, with time constraints Strong customer service oriented; organizational and communication skills, positive and can-do attitude A technical troubleshooting and prioritization skills test will be part of the interview process. About Kroll Join the global leader in risk and financial advisory solutions—Kroll. With a nearly century-long legacy, we blend trusted expertise with cutting-edge technology to navigate and redefine industry complexities. As a part of One Team, One Kroll, you'll contribute to a collaborative and empowering environment, propelling your career to new heights. Ready to build, protect, restore and maximize our clients’ value? Your journey begins with Kroll. In order to be considered for a position, you must formally apply via careers.kroll.com Kroll is committed to equal opportunity and diversity, and recruits people based on merit Show more Show less

Thank you for your interest in working for our Company. Recruiting the right talent is crucial to our goals. On April 1, 2024, 3M Healthcare underwent a corporate spin-off leading to the creation of a new company named Solventum. We are still in the process of updating our Careers Page and applicant documents, which currently have 3M branding. Please bear with us. In the interim, our Privacy Policy here: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ continues to apply to any personal information you submit, and the 3M-branded positions listed on our Careers Page are for Solventum positions. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description Windows Admin (Solventum) 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You’ll Make in this Role As a Windows Admin, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by Server Installation and maintenance Owning primary responsibility for installation/configuration, upgrades and patches of all hardware, operating system, and operational utilities on Windows systems Adhering to documented, approved standards Planning and coordinates infrastructure requests to accommodate server requests. Monitors, schedule, and implement server storage expansions, as required for client needs Coordinating and planning with other support groups and vendors to provide emergency and scheduled maintenance in an effective timeframe Measuring baseline of server performance and security analysis Providing research, communicates, and implements “Best Practices” for server tuning Coordinating requested changes, and minimizing the business impact of those changes Understanding and compliance to operational processes and policies Ability to work with global resources to implement servers, and resolve issues Cover a rotating on call schedule within the group PowerShell scripting to automate day to day tasks Works under limited supervision. Your Skills And Expertise To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications: Minimum six (6) years Microsoft Windows Server Administration experience. Experience in Active Directory Services, Windows Server features like IIS, Clustering etc. Understanding about IT / OT and Edge computing. Demonstrated proficiency in a customer service role ServiceNow ticketing experience AWS and Azure Cloud experience Devops tool (Ansible, Terraform, SaltStack, Git-hub) experience would be an added advantage. Preferred Qualifications 3 / 4-year degree in Computer Science, B.Sc., MIS, BCIS, or equivalent. 2 years VMWare vCenter experience 2 years Nutanix Prism experience SCOM/SCCM experience Commvault backup experience NetApp storage experience Advanced Microsoft Power Shell experience Qualys or other scanning tool experience Experience in using the Power BI tool to import data sources including Cloud Platforms (AWS, Azure), Excel Files, CSVs, SharePoint lists, and Web data. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com . Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms. Show more Show less

AI-Driven SEO Skills The core requirements for the job include the following: Prompt Engineering: Crafting prompts for tools like ChatGPT to generate SEO content ideas, meta descriptions, alt texts, FAQs, etc. SEO Automation Surfer SEO, Clearscope, and Neuron Writer for content optimization. ChatGPT + Zapier for automating reports or content workflows. Python + GPT API to bulk-generate metadata or keyword clusters. AI-Assisted Content Strategy Keyword clustering at scale using tools like Keyword Insights, Low Fruits, or Frase. Programmatic SEO (e. g., generating 100s of location/product pages with templates + AI copy). Data Analysis And Visualization Extracting insights from large keyword datasets using Python, Excel, and Looker Studio Understanding algorithm changes and adapting strategy dynamically Core SEO Expertise (Foundational) Technical SEO: Crawlability, indexing, sitemaps Core Web Vitals and page speed optimization Structured data/schema markup On-Page Optimization Keyword strategy and mapping Content structure, metadata, internal linking Off-Page SEO Link-building strategy Brand reputation and E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) Analytics And Reporting GA4 GSC, Ahrefs, Semrush, Screaming Frog KPI tracking (CTR, rankings, conversions) Strategic And Soft Skills Growth Mindset and Experimentation: A/B testing landing pages, content formats, and CTAs. Cross-Functional Collaboration: Working with devs for technical fixes, content writers for AI-assisted content, and product teams for feature pages. Content and UX Sensitivity: Balancing AI-generated content with human review. Aligning SEO with actual user intent and experience. Tools Content Optimization: Surfer SEO, Clearscope, NeuronWriter. Keyword Clustering: Keyword Insights, ChatGPT + Python. Automation: Zapier, Make, ChatGPT API, Sheet tools. Analytics: GA4 GSC, Looker Studio, Screaming Frog. Content Generation: ChatGPT, Jasper, Writesonic, Koala AI. This job was posted by Mamta Naagar from Rupeezy. Show more Show less

Responsibilities Translate complex business problems into data science solutions and articulate the value and limitations of these solutions to non-technical stakeholders. Develop, deploy, and monitor predictive models, statistical analyses, and optimization algorithms. Work hands-on with large datasets: cleaning, transforming, and analysing to extract actionable insights. Collaborate with cross-functional teams, including Business, Product, Engineering, and Operations, to ensure data science outputs are actionable and aligned with strategic goals. Present findings and recommendations to senior leadership clearly and compellingly. Continuously validate and improve models based on real-world feedback and changing business needs. Leverage Microsoft ecosystem tools (Azure ML, Power BI, SQL Server, Excel, etc. ) extensively for data preparation, model development, deployment, and visualization. Requirements 5+ years of experience in data science, machine learning, or advanced analytics roles. Proficiency in Python for data analysis and machine learning. Strong working knowledge of Microsoft technologies: Azure Data Services (Azure ML, Azure Data Factory, Azure Synapse), Power BI for data visualization (optional), Microsoft SQL Server, and Azure SQL Database, Advanced Excel (Power Query, Power Pivot). Solid understanding of a range of machine learning techniques (classification, regression, clustering, recommendation systems, etc. ) and their real-world trade-offs. Strong business acumen with the ability to contextualize technical outputs into strategic business insights. Excellent communication skills (written and verbal) with the ability to influence decision-making. Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field. This job was posted by Siva Deepa Challa from Re Sustainability. Show more Show less

About Saras Analytics We are an ecommerce focused end to end data analytics firm assisting enterprises & brands in data driven decision making to maximize business value. Our suite of work spans extraction, transformation, visualization & analysis of data delivered via industry leading products, solutions & services. Our flagship product is Daton, an ETL tool. We have now ventured into building exciting ease of use data visualization solutions on top of Daton. And lastly, we have a world class data team which understands the story the numbers are telling and articulates the same to CXOs thereby creating value. Where we are Today We are a boot strapped, profitable & fast growing (2x y-o-y) startup with old school value systems. We play in a very exciting space which is intersection of data analytics & ecommerce both of which are game changers. Today, the global economy faces headwinds forcing companies to downsize, outsource & offshore creating strong tail winds for us. We are an employee first company valuing talent & encouraging talent and live by those values at all stages of our work without comprising on the value we create for our customers. We strive to make Saras a career and not a job for talented folks who have chosen to work with us. Responsibilities • Well versed with Python/R, Excel, JavaScript, SQL, Tableau & Google Analytics • Excellent written and oral communication skills. • Ability to break down abstract problems. • Expert level understanding on Google Analytics, Omniture Site Catalyst or any other Analytics tools • Experience with setting up enhanced eCommerce in GA and auditing GA for gaps. • Expertise in using A/B testing tools like Google Optimize, Optimizely or a similar tool. • Demonstrated capability in having grown conversion rates on websites and references for the same. • Demonstrated ability to code in R or Python. • Adept at putting together presentations and presenting to senior leaders with minimal guidance. • Familiarity with digital marketing, email marketing tools and their capabilities • Ability to coach junior resources and manage their workload. • Proficient in spoken and written English • Link to your Blog or Github page (if present) Requirements • 2+ Experience delivering marketing, customer, and digital analytics projects for large organizations. • Experience working on analytical problems involving forecasting, clustering, and classification will help. • Demonstrated ability to code in R or Python. • Adept at putting together presentations and presenting to senior leaders Understanding of Google Analytics, Omniture Site Catalyst, or any other digital analytics tools. • Ability to coach junior resources and manage their workload. • Proficient in spoken and written English • Bachelor’s or master’s degree in engineering or statistics Show more Show less