Data Scientist

Overview

Data Scientist role within the Trust & Risk Data Science team at eBay, supporting the platform's safety, trust and transaction risk work.

What you'll do

• Apply analytical and quantitative methods to understand Trust & Risk business problems and provide insights that support business and operational decisions.
• Conduct analyses of marketplace and transaction risk issues to identify opportunities to improve customer experience, strengthen trust, and reduce losses for buyers, sellers, and eBay.
• Develop and monitor KPIs and supporting metrics related to customer trust, transaction risk, loss, decision quality, and customer experience, and investigate underlying drivers of metric movements.
• Execute analytical projects, measure outcomes, and translate findings into recommendations that improve customer experience and business performance.
• Work closely with partners across Trust, Risk, Product Management, Engineering, Policy, Shipping, and Design to incorporate analytical insights into decision-making.

What you'll need

• BA/BS degree with 2+ years of relevant experience, or an advanced degree with relevant experience, across areas such as Quantitative Research, Analytics, or Data Science.
• Ability to analyze large and complex datasets, recognize trends and patterns, and translate findings into meaningful business insights.
• Proficiency in programming (Python/R) and data querying (SQL).
• Strong analytical thinking and creativity in solving structured and moderately ambiguous problems.
• Ability to independently execute well-scoped analytical projects and deliver high-quality results.
• Ability to understand customer and business needs and use data to evaluate trade-offs across customer experience, risk, and business outcomes.
• Ability to clearly communicate analytical findings and recommendations to technical and non-technical stakeholders.

Nice to have

• Prior experience in marketplace Trust, Risk, fraud, or transaction risk analytics.
• Experience working with customer, transaction, risk, or loss-related datasets.
• Ability to present complex analyses and insights effectively in simple terms.
• Experience in a 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 required for meetings between 9:00 AM and 12:00 PM (PDT).