Manager, Data Science (Analytics)

About the Role

Key Responsibilities

• Drive analytics for promotion sizing, targeting, and incentives strategy.
• Build scalable frameworks for promotion ROI measurement and automated performance tracking.
• Analyze seller behavior, inventory patterns, and cross-platform overlap for pricing and incentive decisions.
• Apply advanced analytics and machine learning for segmentation, targeting, and impact measurement.
• Partner with cross-functional teams to turn insights into actionable business strategies.

Basic Qualifications

• 6–9 years of experience in analytics, data science, or related roles.
• Strong problem-solving and analytical skills with a business-first mindset.
• Proficiency in SQL and Python or R for data analysis.
• Experience with experimentation, A/B testing, and statistical methods.
• Strong data visualization and storytelling skills.

Preferred Qualifications

• Exposure to applied machine learning, including segmentation, prediction models, or causal inference.
• Experience with pricing, promotions, or marketplace and e-commerce problems.
• Familiarity with Spark, Hive, BigQuery, or similar large-scale data environments.
• Exposure to AI tools, automation frameworks, or agentic AI workflows.
• Experience working with cross-functional global teams.

What We're Looking For

• Ability to turn ambiguous business problems into structured analytical frameworks.
• Strong ownership and ability to drive end-to-end impact.
• Curiosity for AI and automation techniques.
• Balance of technical depth and business acumen.

Location

• Bangalore.