Top Data Science Jobs in India

As a Senior Manager of Data Science, you will lead teams creating data-driven solutions and educate on machine learning problem-solving. This role involves directing analysis to enhance marketing effectiveness and collaborating with various divisions to support strong data science solutions across multiple applications.

The Senior Manager of Data Science at Publicis Sapient will lead teams in creating data-driven solutions using machine learning and statistical analysis. Responsibilities include developing analytical models, driving innovation in digital marketing, mentoring teams, and enhancing the company's data-centric capabilities across various industries and applications.

The Senior Manager of Data Science leads teams in creating data-driven solutions using machine learning and statistical analysis, educates others on conceptual models, directs analyses for marketing effectiveness, and partners with leaders across divisions to enhance data-driven services.

The Senior Associate in Data Science will lead the Reporting and Analytics team, translating business requirements into solutions using Salesforce Tableau CRM. Responsibilities include developing data flows, insights, dashboards, and governance while fostering team collaboration. The role demands strong project management and analytical skills, along with proficiency in various data tools.

As a Data Science Analyst at eBay, you will leverage data analysis to inform decision-making across the organization, collaborating with PMs, researchers, and developers. The role requires responsibility for deriving insights from large datasets, focusing on improving user experiences for buyers and sellers within the eBay platform.

The Senior Data Analyst will develop and support data processes, including data acquisition, modeling, normalization, and reporting services. Responsibilities include ensuring data accuracy, performing data testing and cleaning, managing service requests, and supporting KPI maturity roadmaps with high-quality data outputs.

The role involves onboarding clients and providing ongoing support for the Luminate Planning suite. Responsibilities include feature selection and optimization using machine learning, data mining, enhancing data collection procedures, conducting ad-hoc analyses, and mentoring junior associates.

The Data Science Consultant will analyze complex data sets, apply machine learning techniques for demand forecasting, implement optimization algorithms, and provide advisory services on supply chain analytics for improving efficiency and decision-making.

The Manager, Data Scientist will focus on developing AI-based solutions for credit risk management, driving the evolution of analytics products, and leveraging rich data for differentiated credit products. The role involves collaboration across teams to optimize product development through advanced analytics and AI techniques.

As a Global Product Manager, you will manage partnerships to drive measurement insights, develop analytical frameworks for marketing products, measure the impact of engagements using data science techniques, and communicate insights to stakeholders to optimize marketing performance.

The Senior Data Scientist will develop analytic solutions utilizing statistical and data science techniques while communicating insights across various products and markets. This role involves data ingestion, aggregation, and processing to support strategic decision-making and product evolution.

The Specialist role at Mastercard involves architecting, developing, and maintaining advanced reporting and data visualization capabilities. The candidate will focus on building solutions using Machine Learning, creating actionable insights, and driving product optimization and sales enablement through data science and engineering.

Manager role at Mastercard focusing on architecting, developing, and maintaining advanced reporting and data visualization capabilities for data insights and analytical needs. Responsibilities include building solutions using Machine Learning, creating actionable insights, and driving the evolution of products with a focus on data science and engineering.

The Senior Data Scientist will develop innovative analytical solutions and predictive models to meet client needs, conduct profitability analyses, and create data visualizations. They will lead complex projects, translate stakeholder needs into technical analyses, manage datasets for accuracy, and provide mentorship to junior colleagues.

The Senior Platform Automation & Data Science Engineer at Mastercard will be responsible for coding and building high-quality, secure front-end and REST API/back-end components. They will work on the analysis, design, development, and delivery of software solutions, adhere to standards and best practices, and participate in proof of concepts. The ideal candidate should have experience with Java, JavaScript, Angular, SQL, Spring, and Ruby (Chef) as well as familiarity with DevOps practices and Agile environments.

The Senior Manager, Data Science will lead the development and deployment of advanced analytics solutions, focusing on predictive modeling and machine learning. Responsibilities include collaborating with leadership, fostering a data-driven culture, effectively communicating complex concepts, and ensuring compliance with data privacy regulations while promoting ethical AI practices.

As an Engineering Manager at Dialpad, you will lead and nurture a globally distributed software engineering team focused on customer experience in AI-powered communication products. Responsibilities include team management, collaboration with product and design teams, defining product development priorities, and fostering a culture of trust and inclusion.