Top Data Scientist Jobs in Pune

The consultant will develop and optimize machine learning models and AI algorithms, primarily focusing on LLMs and SLMs. Key responsibilities include deploying models on cloud platforms, collaborating with clients to meet their AI needs, mentoring junior members, and staying updated with industry trends.

The Modelling & Data Science Executive delivers analysis to meet client goals, leveraging expertise in R, Python, and SQL for data manipulation, modelling, and visualization. Responsibilities include understanding business needs, conducting econometric modelling, and performing data QA and manipulation for marketing effectiveness analysis.

The Modelling & Data Science Executive will analyze data to align with client objectives, conduct econometric and panel data analysis, and recommend marketing measurement solutions. Responsibilities include model evaluation, data manipulation, and generating insights from marketing data to exceed performance targets.

As a Senior Data Scientist at Coupa, you will manage large datasets, implement ETL processes, improve data quality, and develop machine learning features.

Lead Media Mix Modeling efforts to optimize marketing strategies and budget allocations. Collaborate across teams to provide actionable insights and enhance marketing performance.

As the Data Science & Engineering Lead, you will guide a team in developing and deploying machine learning models, optimizing data systems, and providing actionable insights through AI advancements. Responsibilities include model architecture, MLOps pipelines, and mentoring junior members while utilizing cutting-edge technology to drive innovation.

As a Director of Data Science at Oportun, you'll lead a team developing machine learning models to assess risk for underbanked consumers, manage data pipelines, and optimize marketing strategies using alternative data. This role entails product development, model governance, stakeholder management, and facilitating business initiatives.

As a Senior Data Scientist at Saks, you will build machine learning solutions, address business problems, and demonstrate outcomes to stakeholders. You will collaborate with the team, apply advanced algorithms, and stay updated on machine learning advancements, focusing on customer analytics and product development in ecommerce and retail domains.

As a Data Scientist at Kyndryl, you'll utilize methodologies and technologies to solve complex business problems using AI and data insights while collaborating with clients to drive transformations.

As a Senior Data and Applied Scientist, you will design and maintain machine learning models to optimize advertising campaigns for ecommerce. Responsibilities include analyzing data, enhancing model performance, collaborating with teams, and dedicating 20% of your time to MLOps.

The Senior Data and Applied Scientist will analyze data and develop machine learning models to solve business issues, primarily focusing on forecasting. Responsibilities include optimizing model performance, integrating data sources, conducting research, and collaborating with teams. The role demands strong data manipulation skills and proficiency in various machine learning techniques.

The Data Scientist drives the development of AI solutions, collaborates across teams, analyzes data needs, builds models, and communicates insights effectively.

The Senior Manager, Data Science at Oportun will develop data products and machine learning models for risk management, fraud detection, and portfolio management. Responsibilities include building automated monitoring tools, reusable data pipelines, and leading projects from inception to execution. This role involves collaborating with compliance and other stakeholders while mentoring team members.

The Senior Data and Applied Scientist will design and maintain machine learning models to optimize advertising strategies, analyze data for actionable insights, integrate new data sources, and ensure model reliability through MLOps. The role requires collaboration with teams across regions to enhance advertising visibility and conversions for ecommerce platforms.

As a Senior Data Scientist, you will collect, analyze, and interpret complex data to identify trends. Key responsibilities include developing AI solutions, building machine learning models, and translating business requirements into actionable insights while ensuring data quality and presenting findings to stakeholders.

The Lead Data Scientist at HiLabs will leverage AI/ML to address complex healthcare challenges and develop resilient data pipelines. Responsibilities include leading a team, managing ETL processes, collaborating on software deployment, and ensuring the quality of code while adhering to best practices in a dynamic environment.

The Senior Data Scientist at HiLabs will leverage AI/ML techniques to solve complex healthcare problems and develop robust ETL data pipelines. The role involves leading a multidisciplinary team, enhancing solution quality, and ensuring efficient code development within a dynamic environment.