Data Scientist

About the role

eBay's Trust & Risk Data Science team safeguards the marketplace by reducing transaction risk and losses while strengthening customer trust across more than 190 markets. As a Data Scientist, you will lead complex analytical work, build quantitative frameworks, and apply predictive analytics to guide marketplace decisions, define measurement infrastructure, and balance customer experience with risk and business outcomes. You will partner with Trust and Risk business leaders and cross-functional teams across Product, Engineering, Policy, Shipping, and Design. 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

• Lead strategic, operational, and analytical work to shape long-term solutions, secure cross-functional alignment, and influence leaders across Trust & Risk on opportunities to improve customer outcome
• Lead deep-dive analyses of complex marketplace and transaction risk issues, identify material opportunities to improve customer experience and trust, and develop actionable recommendations to reduce l
• Define KPIs and standardized measurement frameworks to track customer trust, transaction risk, enterprise loss, decision quality, false positives, residual exposure, and return on investment; use thes
• Define business objectives, establish success measures, and lead complex, high-impact workstreams focused on improving customer experience, strengthening policy and risk effectiveness, reducing transa
• Partner with senior leaders across Trust, Risk, Product Management, Engineering, Policy, Shipping, and Design to integrate insights into business strategies, prioritize investments, and drive decision

What you’ll bring

• BA/BS degree with 5-7 years (or Masters/PhD with 3+ years) of relevant experience across at least two areas such as Quantitative Research, Analytics, or Data Science.
• Strong ability to identify trends, patterns, and implications within complex data 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.
• 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 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 is a plus.

Skills

Education

BA/BS degree with 5-7 years (or Masters/PhD with 3+ years) of relevant experience across at least two areas such as Quantitative Research, Analytics, or Data Science.