Data Science Lead/Manager
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Summary
Analytics lead on eBay's Supply Chain Analytics team in Bengaluru: applies statistics, A/B experimentation, predictive modeling, and AI/GenAI to solve supply-chain and shipping problems, builds dashboards and KPI frameworks, and partners with product, ops, and engineering stakeholders. Core tools are SQL and Python/R.
Role Overview
We are looking for an analytics professional to join eBay's Supply Chain Analytics team and use data, statistical analysis, experimentation, modeling, and AI to solve complex supply-chain and shipping problems and drive measurable business impact.
Key Responsibilities
- Apply basic statistics and predictive modeling to diagnose business problems, identify drivers, and develop actionable recommendations.
- Design and analyze A/B experiments and quasi-experiments to measure the impact of product, process, and operational changes.
- Partner closely with Product, Operations, Engineering, Customer Experience, and Business teams to translate business problems into analytical solutions.
- Develop dashboards, analytical frameworks, and KPI/measurement strategies for supply-chain initiatives.
- Apply AI/GenAI and automation to improve analytical workflows, root-cause analysis, forecasting, and decision-making.
- Communicate insights effectively to senior stakeholders and influence decisions through data-driven storytelling.
- Collaborate across eBay analytics teams to identify opportunities spanning Shipping, Seller Experience, Customer Experience, Search, and Monetization.
Mandatory Skills
- Strong foundation in statistics and analytical problem solving
- Hands-on experience with basic statistics
- Strong understanding of A/B testing, experimentation, and measurement
- Strong business partnership and stakeholder-management capability
- Working knowledge of SQL and Python/R
- Ability to independently translate ambiguous business questions into analytical frameworks
- Interest or experience in AI/GenAI applications in analytics
Preferred Skills
- Experience in supply chain, e-commerce, or marketplace analytics
- Exposure to forecasting, optimization, segmentation, causal inference, or anomaly/root-cause analysis
- Hands-on experience with predictive modeling
- Experience working with large-scale datasets and cross-functional teams
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.