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Strong brand, mid-level generalist data role, metro location, and broad skills make competition high.
Core data skills transfer broadly but Trust & Risk marketplace experience raises domain specificity to medium.
Explicit years requirement plus mandatory Python/SQL skills and measurable domain outcomes indicate high strictness.
Lead complex analytics and develop predictive models to reduce transaction risk and losses on eBay’s Trust & Risk team.
Define and monitor KPIs and measurement frameworks to track customer trust, risk, and business outcomes, driving measurable impact.
Partner cross-functionally with leaders across Product, Engineering, Policy, and other teams to shape business strategies and operational decisions.
Bachelor’s degree with 5+ years experience or Master’s/PhD with 3+ years in Quantitative Research, Analytics, or Data Science.
Proficiency in Python or R programming and SQL for data querying.
Experience leading complex analytical projects with measurable business impact.
Regular availability for meetings between 9:00 AM and 12:00 PM (PDT); remote work across multiple time zones allowed.
Experienced in marketplace Trust, Risk, fraud, or transaction risk analytics, preferably within technology or e-commerce companies.
Able to develop and implement quantitative frameworks for risk measurement such as loss reduction, false positive minimization, or ROI assessment.
Strong communicator capable of translating complex analytics into clear recommendations and influencing senior executives.