Top Data Scientist Jobs in Pune

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

Design and implement clinical data management solutions, lead business process discussions, mentor junior staff, and support delivery in regulated programs.

Lead the application of optimization techniques on large datasets, collaborate with engineering to deploy solutions, and manage project teams while contributing to data science capabilities and thought leadership.

The Advanced Data Science Associate Consultant will develop algorithms, execute statistical techniques, collaborate with clients, and integrate engineering principles into data science workflows.

The Data Science Manager will lead AI/ML solution development for clients in Supply Chain & Manufacturing, mentor data scientists, and drive business development efforts.

The role involves developing advanced algorithms, applying statistical techniques, and collaborating with clients to analyze data trends and emerging technologies.

Deliver analysis aligned with client objectives, develop data science solutions, lead sales meetings, train teams, and build client relationships.

No role-specific responsibilities provided in the posting. Typically, a Unit Manager - Data Governance leads the data governance function: defining and enforcing data policies, managing data quality and metadata, coordinating stakeholders, ensuring regulatory compliance, and supervising a team to implement governance processes.

The role involves using scientific expertise to evaluate AI-driven life science tools, designing criteria for AI solutions, and ensuring alignment with scientific data and customer needs.

The role involves leading tech project management for theft detection initiatives, collaborating with executives, and coordinating cross-functional teams to ensure project success.

As a Product Researcher, you'll plan and conduct user research, deliver insights for product decisions, and collaborate with teams to improve user experience across Coursera's enterprise workflows.

As a Senior MLOps Engineer, you will collaborate with data science and engineering teams to manage ML pipelines, monitor models, and deploy solutions in the cloud.

The Proposal Leader drives strategy and governance for complex proposals, aligning solutions with client outcomes and improving win rates in ServiceNow consulting deals.

The Senior Data Scientist will enhance the predictive modeling capabilities of Lyric's platform, focusing on machine learning and statistical methods for supply chain optimization.

The User Researcher will lead research projects from discovery to synthesis, using various methods to gain insights that improve products while collaborating with stakeholders.

Lead a team of engineers in developing financial services, collaborating with stakeholders to build effective systems, and fostering a culture of innovation and excellence.

The job involves utilizing machine learning and statistical modeling tools to analyze data and communicate findings to stakeholders. Candidates should have strong programming skills in Python and familiarity with cloud platforms and optimization techniques.

The role involves leading machine learning initiatives, designing solutions, and collaborating with stakeholders to enhance business value through data.

Lead AI and data innovation by developing ML models, optimizing data systems, and mentoring junior team members in a collaborative team environment.

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

The Principal Engineer, Data Science role involves leading data science projects and providing strategic insights using extensive IT experience.

The role involves designing data science solutions, mentoring team members, deploying models, and ensuring high-quality code. It requires strong analytical skills and the ability to communicate technical requirements effectively.

The Staff Engineer in Data Science is responsible for machine learning, data analysis, and mentoring team members, while ensuring high-quality technical solutions are delivered.

As a Staff Engineer in Data Science, you will design, deploy, and refine data models while mentoring team members and ensuring code quality. You'll translate business requirements into technical designs, review architecture, and develop solutions for data-driven projects.

Lead and manage the AI & Data Science function, set technical strategy, deliver AI solutions, collaborate across teams, and communicate impact to stakeholders.