Top Data Science Jobs in India

The NPDE AI/ML Leader will define and implement strategic AI solutions to enhance product development in semiconductor processes, working closely with domain experts and managing software teams.

Lead classic ML data science efforts: design and validate statistical analyses and models, build forecasting and classification solutions, use ML frameworks and MLOps tools to productionize and monitor models, and guide an AI/ML engineering team.

The role involves leading AI and ML strategies, integrating advanced capabilities into products, and optimizing data science models, emphasizing innovation and reliability.

The Senior Data Scientist will develop machine learning models, collaborate with stakeholders, analyze data sets, and stay updated on AI advancements.

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

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.

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.

As the Senior Clinical Data Science Lead, you will oversee clinical data management, ensuring quality data for trials and leading cross-functional teams.

As a Lead Data Science Engineer, you'll drive Gen-AI solutions, develop data models, manage stakeholders, ensure data quality, and mentor team members.

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.

As a Data Science Consultant, you will optimize software solutions, conduct data mining, mentor juniors, and tackle customer data quality issues using advanced ML techniques.

Develop and enhance pricing optimization models using AI techniques, analyze customer behavior, and integrate models into pricing workflows while collaborating with cross-functional teams.

Develop pricing optimization models using machine learning and Generative AI, analyze customer behavior, and work cross-functionally to integrate insights into processes.

Lead and inspire a team in AI/ML product discovery, transforming product data into insights, driving data-informed strategy, and innovating with structured data solutions.

This role involves analyzing customer service data, developing dashboards, leveraging AI, and presenting insights to enhance business performance across global teams.

The Data Science Senior Analyst conducts strategic data analysis, drives optimization, leads system changes, and communicates complex data insights to business clients. Requires strong analytical skills and team leadership.

The intern will work on Data Science projects, collaborating with a mentor to analyze, design, and document technical components that meet business standards.

The role involves analyzing CPC-based advertising and search initiatives, designing A/B tests, and providing actionable insights from large datasets to enhance eBay's advertising ecosystem.

The role involves leading analytical strategies for eBay Live, focusing on category scaling, programming evaluation, and supply-demand optimization using advanced analytics and causal inference methods.

The Product Manager will define and drive AI-powered statistics for life sciences, collaborate across teams, engage with customers, and support market differentiation strategies.

The Clinical Data Science Programmer will develop programming solutions to enhance clinical trial data analysis, ensuring data integrity and efficient processing.

As a Clinical Data Science Programmer, you will develop and validate programming code for clinical trials, ensuring data integrity and compliance with regulatory standards while collaborating with scientists and statisticians.

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