Top Data Science Jobs in Bangalore

Leads a data and analytics team at vice president level, coaching colleagues and delivering strategic analytics solutions. Partners with stakeholders to define complex business questions, plans analytics resources, applies advanced analytics and visualization, and communicates insights to support business decisions. The role also requires knowledge of data architecture, cloud environments, coding, emerging tools, and methodologies, with a focus on customer and commercial impact.

Leads and grows a regional team of Data and AI technical specialists supporting Databricks customer production workloads across APJ and EMEA. Oversees global support coverage, develops team expertise, troubleshoots complex distributed data engineering issues, improves workload reliability and performance, supports adoption of new products, engages strategic customers, and partners with product engineering teams to improve Databricks platform supportability.

Design, build, and maintain Databricks-based data pipelines using PySpark and Delta Live Tables. Implement data models, optimize complex SQL and PySpark transformations, manage Unity Catalog for governance, support AI/ML downstream consumption, monitor and troubleshoot pipelines, contribute to CI/CD, and help power the semantic layer for Power BI dashboards.

Lead data science initiatives by defining roadmaps, managing teams, and engaging clients, while driving innovative AI and analytics solutions.

As a Data Scientist, you will enhance data productivity, develop models, collaborate with business stakeholders, and provide insights to improve product usability and reseller performance.

Lead and manage a team of Data Scientists and Data Analysts, establishing data standards and practices in Stripe's India office while driving data-centric decision-making across the organization.

The Facilitator will deliver academic support in Data Analytics through live sessions, tutoring, and quality assurance, while collaborating on curriculum enhancements and mentoring others.

Lead the Data Science team for Lending at Grab, overseeing credit risk modeling, guiding ML strategies, and partnering with stakeholders for data-driven insights and model governance.