Job Title: Lead Data Scientist – Retail Analytics
Location: Bangalore
Experience: 5 yrs and above
We are looking for a Lead Data Scientist to own and scale our Retail Analytics function. This is a strategic, hands-on role focused on driving business growth through data-driven insights across marketing, merchandising, pricing, and operations.
You will define the analytics strategy, build KPI frameworks, and lead dashboards and reporting systems across the retail ecosystem. The role involves deep work in customer segmentation, LTV modeling, cohort analysis, funnel optimization, and experimentation (A/B testing). You will also partner with data engineering teams to build and maintain robust data pipelines and tracking infrastructure.
Key responsibilities include leading a small analytics team, mentoring analysts, identifying performance gaps, and delivering actionable insights to senior leadership. You will work closely with business stakeholders to influence decisions and improve conversion, retention, and revenue outcomes.
Requirements:
- 4 years in Retail / eCommerce analytics
- Strong SQL and Python/PySpark skills
- Experience with BI tools (Power BI / Tableau)
- Expertise in retail KPIs, pricing, promotions, and merchandising analytics
- Strong understanding of A/B testing and statistical analysis
- Experience working with cloud platforms (Azure Databricks / BigQuery preferred)
- Ability to lead teams and communicate insights to leadership
Preferred:
- Experience with personalization or recommendation systems
- Exposure to machine learning in retail
- MBA or equivalent in Analytics/Business preferred
Pay: Up to ₹3,000,000.00 per year
Benefits:
Experience:
- Retail Analytics: 3 years (Required)
Work Location: In person
