Senior Data Scientist

About the role

At eBay, the Trust & Risk team is dedicated to making the marketplace a safe and trusted platform for millions of buyers and sellers. As a Senior Data Scientist, you will serve as a strategic analytics partner to senior leaders, shaping analytical strategy across multiple complex workstreams, defining enterprise measurement frameworks, and guiding teams toward decisions that improve customer experience and reduce transaction risk and losses. This is a remote, full-time role based in Bengaluru, India, requiring regular availability for meetings between 9:00 AM and 12:00 PM (PDT).

What you’ll do

• Define and drive analytical strategy across multiple Trust & Risk domains, identifying emerging opportunities and translating broad organizational objectives into measurable analytical priorities and
• Apply deep business, analytical, and operational expertise to frame complex and ambiguous problems, synthesize insights across multiple areas, and influence long-term decisions with senior leaders
• Develop a holistic view of customer experience, marketplace risk, and transaction loss to identify the highest-impact opportunities across Trust & Risk and guide prioritization of initiatives
• Establish standardized KPIs and quantitative frameworks for customer trust, transaction risk, enterprise loss, decision quality, false positives, residual exposure, and return on investment
• Define business objectives and success measures across complex portfolios of work, track progress, identify gaps, and ensure analytical recommendations translate into measurable improvements
• Provide analytical direction across several concurrent initiatives, connect insights across teams and risk vectors, identify dependencies and trade-offs, and ensure resources are focused on the highes
• Partner with senior leaders across Trust, Risk, Product Management, Engineering, Policy, Shipping, Finance, and Design to shape roadmaps, prioritize investments, and drive alignment on complex decisio
• Provide thought leadership and analytical guidance to other data scientists and cross-functional partners, helping improve problem framing, measurement approaches, analytical rigor, and the quality of

What you’ll bring

• BA/BS degree with 8-12 years (or Masters/PhD with 6+ years) of relevant experience in Quantitative Research, Analytics, Data Science, or related disciplines
• Demonstrated ability to move from complex data and ambiguous business problems to clear strategies, priorities, and actionable recommendations with significant organizational impact
• Strong proficiency in analytical and quantitative methods, programming (Python/R), and data querying (SQL)
• Exceptional ability to structure highly ambiguous, cross-functional problems and create analytical frameworks where established approaches may not exist
• Proven ability to lead multiple complex analytical workstreams simultaneously, establish priorities, manage dependencies, and drive sustained business outcomes
• Strong ability to evaluate trade-offs across customer experience, risk, operational complexity, and financial impact
• Demonstrated ability to communicate complex insights simply, challenge assumptions constructively, and influence senior executives and cross-functional leaders
• Proven ability to build alignment across organizations with different objectives and drive decisions without relying on direct authority

Nice to have

• Significant experience in marketplace Trust, Risk, fraud, transaction risk, or related domains
• Experience developing enterprise-scale measurement or decision frameworks for loss, decision quality, false positives, risk exposure, or return on investment
• Experience managing or influencing analytical portfolios spanning multiple business areas or risk vectors
• Ability to connect detailed analytical findings to broader marketplace and business strategy
• Experience partnering directly with senior executives on high-impact strategic decisions
• Experience in a leading technology company
• Background in e-commerce products, marketplaces, payments, shipping, or financial risk
• Experience with Natural Language Processing, machine learning, or LLM/GenAI is a plus

Skills

Education

BA/BS degree with 8 - 12 years (or Masters/PhD with 6+ years) of relevant experience across areas such as Quantitative Research, Analytics, Data Science, or related disciplines