Analytics Lead managing analytical strategy and translating data into insights at privacy startup. Collaborating across teams to influence company - level decisions rooted in data.
About the role
- Senior Data Scientist leading AI/ML initiatives for Marketplace Payments at Walmart. Focused on payments risk analytics and financial decision-making for sellers.
Responsibilities
- 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.
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