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Tier-1 brand, mid-level generalist data role, Bangalore metro and remote-friendly increases applicant competition.
Focus on marketplace Trust & Risk favors e-commerce risk experience but core data skills remain transferable.
Explicit 5-7 year requirement plus mandatory Python/R and SQL skills creates stringent shortlisting filters.
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Lead strategic and operational analytics to improve customer outcomes and reduce transaction risk on eBay’s Trust & Risk team.
Develop and apply quantitative frameworks and predictive analytics to guide marketplace decisions and optimize risk-related metrics such as loss, false positives, and decision quality.
Partner cross-functionally with senior leaders in Product, Engineering, Policy, Shipping, and Design to drive data-driven strategies and measurable impact in reducing transaction losses and enhancing platform trust.
Bachelor’s degree with 5-7 years or Master’s/PhD with 3+ years of relevant experience in Quantitative Research, Analytics, or Data Science.
Proficiency in Python or R programming and SQL for data querying.
Ability to work remotely with availability for meetings 9:00 AM to 12:00 PM PDT.
Work Experience Required: 5-7 years (BA/BS) or 3+ years (MS/PhD) relevant experience.
Experienced in marketplace Trust, Risk, fraud, or transaction risk analytics with measurable outcomes.
Skilled at defining and monitoring key metrics related to risk, loss, and customer trust to inform strategic business decisions.
Capable of translating complex analyses into clear recommendations and influencing senior leadership across cross-functional teams.