Data Scientist

Role Overview

As a Data Scientist in the Trust & Risk team at eBay, you will work with Trust and Risk business teams and partner teams across Product, Engineering, Policy, Shipping, and Design to analyze marketplace problems, identify opportunities, and support data-driven decision-making. Your role will involve using analytics and quantitative methods to understand customer and transaction risk trends, measure business impact, and evaluate opportunities to improve customer experience and reduce losses.

Responsibilities

• Generate Analytical Insights: Apply analytical and quantitative methods to understand Trust & Risk business problems and provide insights that support business and operational decisions.
• Analyze & Identify Opportunities: 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.
• Define & Monitor Metrics: Develop and monitor Key Performance Indicators (KPIs) and supporting metrics related to customer trust, transaction risk, loss, decision quality, and customer experience.
• Deliver Results: Support business objectives by executing analytical projects, measuring outcomes, and translating findings into recommendations.
• Cross-Functional Collaboration: Work closely with partners across Trust, Risk, Product Management, Engineering, Policy, Shipping, and Design.

Requirements

• BA/BS degree with 1-3 years of relevant experience, or an advanced degree with relevant experience, in Quantitative Research, Analytics, or Data Science.
• Ability to analyze large and complex datasets, recognize trends and patterns, and translate findings into meaningful business insights.
• 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 clearly communicate analytical findings and recommendations to technical and non-technical stakeholders.
• Flexible and capable of working remotely across multiple time zones.

Skills

• Python
• R
• SQL
• Data Analysis
• Quantitative Research

Nice to Have

• Prior experience in marketplace Trust, Risk, fraud, or transaction risk analytics.
• Experience working with customer, transaction, risk, or loss-related datasets.
• Experience in a technology company or background in e-commerce.