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Tier-1 brand, remote flexibility, generalist Data Scientist title, metro location, and mid-level experience increase applicant competition.
Role centers on Trust & Risk, fraud, and marketplace datasets so industry-specific experience is highly preferred.
Explicit 2+ years requirement plus mandatory SQL/Python technical skills increase filtering severity.
Use analytics and quantitative methods to analyze Trust & Risk marketplace problems, measure business impact, and identify opportunities to improve customer experience and reduce losses.
Develop and monitor KPIs and metrics related to customer trust, transaction risk, loss, decision quality, and customer experience, investigating drivers and surfacing actionable insights.
Collaborate cross-functionally with Product, Engineering, Policy, Shipping, and Design teams to support data-driven decision-making and translate findings into recommendations.
Bachelor's degree (BA/BS) with 2+ years relevant experience or advanced degree with relevant experience in Quantitative Research, Analytics, or Data Science.
Proficiency in programming with Python or R and data querying using SQL.
Ability to analyze large, complex datasets and translate findings into business insights.
Flexible working hours with regular availability for meetings between 9:00 AM and 12:00 PM PDT.
Experience in marketplace trust, risk, fraud, or transaction risk analytics, preferably with customer, transaction, risk, or loss-related datasets.
Ability to independently execute analytical projects and communicate complex insights clearly to technical and non-technical stakeholders.
Background in technology or e-commerce companies, including familiarity with marketplaces, payments, or shipping domains.