Top Data Science Jobs in India

The Senior Staff Engineer, Data Science role involves guiding team direction, solving complex challenges for clients, and leveraging technical expertise to innovate solutions.

Lead a team of 20+ in analytics and data science initiatives at eBay. Design dashboards, predictive models, and drive innovation while managing senior business partnerships.

Lead data science initiatives, managing client AI analytics programs, guiding teams, and transforming broad concepts into actionable data solutions.

Lead analytics consulting for clients, execute various analyses, develop strategies, and maintain collaborative partnerships, delivering insights and storytelling through data.

As a Sr. Data Scientist, you will work with large datasets, implementing ETL and machine learning pipelines while improving data quality and analyzing algorithms.

The Data Science Advisor leads data science initiatives within Cigna, focusing on deep learning model development and cross-functional collaboration to deliver value. Responsibilities include coding, model optimization, and stakeholder communication.

Design and develop scalable applications on Azure, collaborating with teams to meet business needs while mentoring junior engineers and ensuring cloud security.

The Senior Account Manager will develop and implement machine learning models, collaborate with stakeholders, and drive data-driven business strategies to enhance decision-making.

Lead customer analysis, manage a team of analysts, apply data science methods for client insights, and oversee project delivery.

Lead and mentor a team of data scientists while managing advanced analytics projects. Drive data-driven decision-making through machine learning and statistical analyses.

The Head of Modelling & Data Science will lead analytics strategies, manage a team, develop models using advanced analytics, and communicate insights to stakeholders.

Lead and manage customer analysis, mentor analysts, apply data science methods to deliver insights, and manage data science projects for clients.

As a Modelling & Data Science Executive-1, you'll apply advanced analytics and algorithms to enhance client business operations, while collaborating with a multidisciplinary team.

The Manager of Data Science will engage with stakeholders, develop AI solutions, and analyze data to identify business growth opportunities while mentoring junior team members.

The role involves developing machine learning models, collaborating with stakeholders, and utilizing AI/ML techniques for data analysis and business insights.

The Lead Software Engineer will architect full stack solutions, mentor developers, lead AI practices, and facilitate design workshops.

The Senior Manager - Data Science Lead will design and deploy predictive models, translate insights into recommendations, and partner with data engineering while leading analytics talent development.

The Senior Account Manager role focuses on developing machine learning models and providing data-driven insights to drive business strategy and solve problems.

Lead data science initiatives to develop AI models, collaborating across teams to drive business solutions, optimize performance, and mentor junior staff.

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.

Lead and manage data and visualization engineers to develop and maintain data pipelines and automate ETL processes, collaborating closely with business partners and data science teams.

Develop machine learning models, analyze data, collaborate with teams, and stay updated on AI/ML trends to drive business insights.

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

Analyze data for demand forecasting, apply machine learning techniques, implement optimization algorithms, and advise on supply chain analytics best practices.

The Director of Data Science will lead the delivery of data science and analytics solutions, mentor teams, and collaborate with stakeholders to drive efficiency and revenue outcomes.