Top Data Science Jobs in India

Lead data science projects, applying advanced statistical techniques and machine learning algorithms to derive insights and predict outcomes.

Lead a team to develop and deploy AI/ML solutions, manage the full ML lifecycle, and collaborate across teams for impactful data-driven outcomes.

The Facilitator will deliver academic support in Data Analytics through live sessions, tutoring, and quality assurance, while collaborating on curriculum enhancements and mentoring others.

The Data Science Engineer III will develop and maintain scalable data pipelines, enhance data processing systems, and enable AI/ML use cases, collaborating with cross-functional teams and ensuring data quality.

The role involves developing and implementing AI/ML solutions for clinical trials, predictive modeling, and compliance with regulations. Requires strong programming skills and experience in generative AI.

As a Senior Data Scientist, you will tackle complex data science and machine learning challenges, engage with clients, and develop statistical models using advanced techniques.

Assist in data science algorithm development, collaborate on A/B tests, and analyse datasets to provide actionable insights for strategic initiatives.

The Support Engineer will optimize machine learning techniques, conduct data mining, handle forecasting issues, and enhance datasets while collaborating closely with engineering and product teams.

Lead and grow Gracenote's AI & Data Science teams, drive AI/NLP/Computer Vision/MLOps initiatives, deploy production ML/GenAI solutions, enforce quality and lifecycle processes, partner cross-functionally, and advance predictive analytics and research for media audience measurement.

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

The Senior Manager, Data Science will lead hands-on analytics and algorithm development using wearable data. Responsibilities include building Python pipelines, developing models, performing statistical analysis, and collaborating with teams.

Lead the Marketing Analytics & Data Science team, developing measurement strategies and frameworks that influence Zillow's marketing decisions. Manages a team, collaborates with stakeholders, and ensures high-quality analytical outputs while promoting career development.

The role involves leading offer optimization and data science solutions for airlines, managing end-to-end project implementation, training analysts, and enhancing revenue optimization processes.

Support the development of MMM and forecasting models, collaborate with data scientists, and ensure data quality for model inputs.

The role involves developing marketing models, validating data, collaborating on model pipelines, and creating client-facing visualizations in the field of data science and marketing measurement.

Lead a team of data scientists to apply data mining techniques, conduct statistical analysis, and build predictive systems for technology intelligence.

This role involves developing AI and ML solutions to enhance decision-making and operational efficiency in finance and HR, leveraging data insights for strategic analysis and predictive modeling.

The role involves designing and maintaining end-to-end ML pipelines, building production-grade ML services, and integrating ML solutions into production environments. Collaboration with data scientists and stakeholders is essential for effective decision-making using internal analytical tools.

The role involves owning product analytics for Search, designing and interpreting A/B tests, and collaborating cross-functionally to translate data insights into actionable strategies.

The QA Data Science Engineer will establish QA best practices for AI-driven security products, perform testing on data pipelines, and integrate ML tests into CI/CD pipelines.

The role involves developing ML and AI solutions for sales analytics, translating commercial challenges into analytical problems, and delivering insights to improve decision-making. It requires collaboration with commercial teams and the use of advanced models for sales forecasting and optimization.

The Manager will lead AI/ML initiatives, drive GenAI strategy, mentor teams, and ensure responsible AI practices while collaborating with stakeholders.

The role focuses on designing and operating analytics pipelines on Google Cloud, utilizing tools like Apache Airflow and BigQuery, while implementing CI/CD practices.

Lead the Data Scientist team focused on risk-based monitoring in clinical trials, ensuring data quality and implementing advanced analytical solutions.

Lead the design and deployment of AI/ML solutions focused on sustainability, mentor teams, engage clients, and ensure adherence to responsible AI principles.