Top Data Science Jobs in India

The Sr. Analyst in Data Science & Analytics is responsible for managing client analytics consulting projects, conducting various analyses such as advertising performance and customer segmentation, developing measurement strategies, packaging deliverables effectively, and maintaining client partnerships. This role requires strong analytical, project management, and communication skills, along with a strategic mindset and deep knowledge of data insights.

As a Lead in Data Science, oversee the validation of AI and ML models, ensure compliance and accuracy, drive AI project implementations, mentor team members, and contribute to policy development while collaborating across departments.

The Data Strategy Manager will assist clients in identifying opportunities for model improvement within their AI stacks, consulting on business goals, and designing data plans to enhance model performance. This role involves managing projects, creating diagnostics, and ensuring the delivery of high-impact data strategies in collaboration with internal teams and clients.

As a Data Science Senior Manager, you will design, develop, and deploy AI models primarily in Retail Banking. You will lead a team of data scientists to create innovative AI solutions, utilize machine learning and statistical techniques, and collaborate closely with stakeholders to ensure solutions meet business needs. The role involves mentoring, project ownership from data collection to deployment, and translating complex data insights into business strategies.

As a Senior Analyst in Data Science, you will be responsible for implementing analytical solutions, extracting and analyzing data from various sources, creating data pipelines, and applying MLOps frameworks for real-time monitoring of AI/ML models. Collaborating with global teams, you will ensure timely deliveries and develop insights from data.

As a Senior Data Scientist at Target, you'll design, develop, deploy, and maintain data science models and tools to solve retail challenges in the supply chain, ensuring efficient inventory management and fulfillment planning. You'll collaborate with cross-functional teams to understand business needs and enhance operational processes.

As a Senior Manager of Data Science, you will lead a team of data scientists, manage data science projects, utilize Python for data analysis, and apply machine learning techniques. You will collaborate with cross-functional teams and present insights to stakeholders, while staying updated on industry trends.

As a Senior Product Manager at Oportun, you will develop and execute data governance strategies, leading a cross-functional team to deliver innovative solutions that align with the company's vision. Your role will involve defining product strategy, setting objectives, and collaborating with various stakeholders to enhance data management for better decision-making.

The Senior Manager of Data Science will develop and enhance data products and machine learning models for risk management, fraud prevention, and collections. Responsibilities include creating monitoring tools, building deployment platforms, and leading collaborative projects to drive business value using alternative data to optimize customer experience and marketing strategies.

The Senior Data Science Manager at Visa will lead AI and ML driven data science projects, collaborating with clients to solve strategic problems, design analytical solutions, and guide project execution, ultimately enhancing business performance in the payment industry.

The Senior Data Science Engineer at dunnhumby will develop and maintain engineering tools to enhance data science workflows. Responsibilities include optimizing data pipelines, collaborating with infrastructure teams, and leveraging cloud services, Kubernetes, and modern web frameworks to build scalable applications.

The Data Science Manager at Micron Technology will lead efforts in smart manufacturing through data science strategies and applications. Responsibilities include developing smart manufacturing applications, providing technical consulting, solving application issues, and keeping updated with data science trends. The role also involves working with teams to build machine learning models and integrating them effectively into existing systems.

The Data Science Senior Analyst is responsible for conducting strategic data analysis, optimizing data quality, and delivering analytics initiatives to address business problems. This role involves consulting with clients, leading system change processes, and ensuring high-quality work. Strong communication, leadership, and risk assessment skills are crucial.

The role involves developing and optimizing machine learning models and AI algorithms to address complex business issues. Responsibilities include designing and fine-tuning AI models, deploying them on cloud platforms, collaborating with clients, mentoring junior team members, and staying updated on industry trends.

Lead a team of data scientists in developing advanced data science and generative AI solutions. Oversee data strategy, algorithm development, and model creation while analyzing healthcare data to generate insights and drive innovative strategies, working closely with stakeholders.

The Data Science Contractor role focuses on building and deploying machine learning systems that drive business decisions and enhance customer experiences. The contractor will collaborate with engineers and analysts, perform data analysis, evaluate ML models, and improve ML systems through upgrades and experimentation.

This role involves driving talent recruitment, engaging in strategy meetings, mentoring employees, and collaborating with business stakeholders to influence product strategy. The Engineering Manager will focus on team development and performance improvement while fostering growth opportunities within the organization.