Lead the design, development, and evolution of AI/ML models (predictive, segmentation, anomaly detection) to assess seller risk, credit exposure, fraud, and negative balances
Drive end-to-end analytics and AI decisioning for initiatives such as seller lending, cash-flow optimization, faster payouts, and Marketplace financial services
Apply advanced statistical and machine learning techniques to large, complex datasets spanning payments, fulfillment, orders, and shipments to solve ambiguous payments risk problems
Define and operationalize scalable risk frameworks, translating analytical insights into automated controls and decision systems
Build and maintain dashboards and monitoring frameworks to track risk trends, model performance, alerts, losses, and payments SLAs
Identify, integrate, and enhance high-value internal and third-party data sources to strengthen payments risk signals and feature coverage
Measure and optimize key metrics (alert rates, false positives, losses, operational efficiency) through data-driven experimentation and AI automation
Partner closely with Product, Engineering, T&S, Seller Risk & Performance, Finance, and Treasury to influence the payments risk and data science roadmap
Provide technical mentorship and day-to-day guidance to data scientists; review models and code, and help raise the bar on analytics and ML rigor
Contribute to hiring, onboarding, and developing talent, fostering a culture of ownership, collaboration, and continuous learning.

Requirements

Master’s degree with 7+ year’s experience in a quantitative field (Applied Math, Statistics, Engineering, Machine Learning, Analytics, or related)
6–9 years of experience in data science, applied ML, or advanced analytics roles, including ownership of production-grade models
Strong domain experience in payments, financial services, credit risk, fraud, or risk analytics
Advanced SQL skills and experience working with large-scale, distributed data systems
Proficiency in Python (or similar languages) and modern ML frameworks; experience with Spark or Hive preferred
Solid understanding of eCommerce metrics and key risk indicators
Experience driving projects from ambiguous problem statements to measurable business outcomes
Strong communication skills with the ability to influence cross-functional partners and mentor junior team members.

Benefits

Health benefits include medical, vision and dental coverage.
Financial benefits include 401(k), stock purchase and company-paid life insurance.
Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Education benefits through Live Better U program for full-time and part-time associates.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI modelsML modelspredictive modelingsegmentationanomaly detectionadvanced statistical techniquesmachine learning techniquesSQLPythondata science

Soft Skills

communication skillsmentorshipcollaborationownershipcontinuous learninginfluenceguidanceproblem-solvingproject managementteam development

Certifications

Master’s degree