Data Scientist

Overview

Lead complex analytical work within eBay's Trust & Risk Data Science team, using quantitative frameworks and predictive analytics to guide marketplace decisions and reduce transaction risk and losses.

What you'll do

• Lead strategic, operational, and analytical work to shape long-term solutions, secure cross-functional alignment, and influence leaders across Trust & Risk.
• Lead deep-dive analyses of complex marketplace and transaction risk issues and develop actionable recommendations to reduce losses for buyers, sellers, and eBay.
• Define KPIs and standardized measurement frameworks to track customer trust, transaction risk, enterprise loss, decision quality, false positives, residual exposure, and return on investment.
• Define business objectives, establish success measures, and lead complex, high-impact workstreams.
• Partner with senior leaders across Trust, Risk, Product Management, Engineering, Policy, Shipping, and Design to integrate insights into business strategies and prioritize investments.

What you'll need

• BA/BS degree with 5-7 years of relevant experience, or Masters/PhD with 3+ years, across at least two areas such as Quantitative Research, Analytics, or Data Science.
• Strong ability to identify trends, patterns, and implications within complex data, develop analytical frameworks, and translate findings into strategic and operational decisions.
• Proficiency in programming (Python/R) and data querying (SQL).
• Strong creativity and structured thinking in solving complex, ambiguous, and cross-functional problems.
• Proven ability to independently lead complex analytical initiatives and deliver measurable results in challenging situations.
• Experience balancing customer experience, risk, and business outcomes, while synthesizing diverse perspectives and driving alignment across stakeholders.
• Ability to translate complex analyses into clear, actionable recommendations and effectively influence senior-level executives.

Nice to have

• Prior experience in marketplace Trust, Risk, fraud, or transaction risk analytics.
• Experience developing quantitative or measurement frameworks for areas such as loss, decision quality, false positives, risk exposure, or return on investment.
• Ability to present complex analyses and insights effectively in simple terms.
• Experience in a leading technology company.
• Background in e-commerce products, marketplaces, payments, or shipping.
• Experience with Natural Language Processing or LLM/GenAI.

Details

• Flexible and capable of working remotely across multiple time zones.
• Regular availability is required for meetings between 9:00 AM and 12:00 PM (PDT).