Staff Data Scientist

DESIGNATION: SENIOR DATA SCIENTIST (Grade 13)

About the Team

The Data Sciences team at Flipkart is the central intelligence hub of India's digital economy. We don't just build models; we architect the systemic intelligence that powers India's largest online marketplace. With access to the country's most diverse dataset—spanning terabytes of structured, unstructured, and behavioral data—our team is uniquely positioned to define the future of commerce for over half a billion users.

About the Role

A Senior Data Scientist in Flipkart is required to drive research and development of various Machine Learning and Statistical modules, keeping business goals and product planning at the front. The responsible person should be able to communicate and collaborate with multiple stakeholders representing various teams. The crux of the work is defined by developing innovative problem statements as well as end to end implementation of state of the art ML and statistical algorithms. The candidate is additionally expected to work proactively with a team of junior Data Scientists and guide them in various research projects with a view to publish their findings.

What you'll do

• Understand Business and product needs and use advanced modeling techniques to provide solutions to those in a time bound fashion.
• Develop research and hypothesis on problem statements around on-going work to provide additional value to the organization.
• Keep the team updated on current trends in the area of ML and Statistics, thereby ensuring that state of the art solutions are provided for the business problems.
• Regular collaboration with various stakeholders from business or product to better understand the vision and gain insights which is to be leveraged for providing better solutions.

What You Will Need

Mandatory Qualifications

• Academic Excellence: Masters/Ph.D. in Computer Science, Statistics, or a related quantitative field.
• Proven Impact: 8+ years of experience in high-growth tech environments, with a track record of architecting solutions that have delivered quantifiable business impact at the million-user scale.
• Systemic Thinking: Demonstrated experience in designing org-wide data handling policies or shared ML platforms.
• Technical Mastery & Domain Expertise: Deep proficiency in Deep Learning, Generative AI, and distributed computing (e.g., Spark, Ray). This is paired with extensive experience across the eCommerce value chain, including Search, Recommendations, Supply Chain Planning, Cataloging, and AdTech etc
• Leadership: Exceptional ability to drive consensus across engineering, product, and finance teams without formal authority.

Optional (Highly Valued) Skills

• Open Source & Patents: A recognized portfolio of patents or significant contributions to major AI frameworks (e.g., PyTorch, TensorFlow, HuggingFace).