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Data Scientist
About the role
As a Data Scientist on eBay's Trust & Risk Data Science team, you will analyze marketplace and transaction risk problems, develop KPIs, and deliver data-driven insights to strengthen trust and reduce losses across eBay's global marketplace. Day-to-day work involves partnering with Product, Engineering, Policy, Shipping, and Design teams to conduct quantitative analyses, monitor metrics, and translate findings into recommendations. This is a full-time remote role based in Bengaluru, India, requiring regular availability for meetings between 9:00 AM and 12:00 PM (PDT).
What you’ll do
- Apply analytical and quantitative methods to understand Trust & Risk business problems and provide insights that support business and operational decisions
- Conduct analyses of marketplace and transaction risk issues to identify opportunities to improve customer experience, strengthen trust, and reduce losses for buyers, sellers, and eBay
- Develop and monitor KPIs and supporting metrics related to customer trust, transaction risk, loss, decision quality, and customer experience, and investigate underlying drivers of metric movements
- Support business objectives by executing analytical projects, measuring outcomes, and translating findings into recommendations that improve customer experience and business performance
- Work closely with partners across Trust, Risk, Product Management, Engineering, Policy, Shipping, and Design to understand business questions and incorporate analytical insights into decision-making
What you’ll bring
- BA/BS degree with 1-3 years of relevant experience, or an advanced degree with relevant experience in Quantitative Research, Analytics, or Data Science
- Ability to analyze large and complex datasets, recognize trends and patterns, and translate findings into meaningful business insights
- Proficiency in programming (Python/R) and data querying (SQL)
- Strong analytical thinking and creativity in solving structured and moderately ambiguous problems
- Ability to independently execute well-scoped analytical projects and deliver high-quality results
- Ability to understand customer and business needs and use data to evaluate trade-offs across customer experience, risk, and business outcomes
- Ability to clearly communicate analytical findings and recommendations to technical and non-technical stakeholders
- Flexible and capable of working remotely across multiple time zones, with regular availability for meetings between 9:00 AM and 12:00 PM (PDT)
Nice to have
- Prior experience in marketplace Trust, Risk, fraud, or transaction risk analytics
- Experience working with customer, transaction, risk, or loss-related datasets
- Ability to present complex analyses and insights effectively in simple terms
- Experience in a technology company
- Background in e-commerce products, marketplaces, payments, or shipping
- Experience with Natural Language Processing or LLM/GenAI is a plus
Skills
Education
BA/BS degree with 1-3 years of relevant experience, or an advanced degree with relevant experience