Position Summary...
As a Staff Data Scientist on Marketplace Payments, you will be a senior technical leader driving ML/AI powered payments risk analytics and financial decisioning for Marketplace sellers. This role focuses on building and scaling predictive and machine learning models across payments, credit, and fraud while providing strategic analytical leadership to improve operational excellence and seller financial outcomes.
What you'll do...
This role is ideal for a hands-on, seasoned data scientist who applies AI/ML to complex payments and financial risk challenges at scale, while mentoring and developing a team of data scientists and analytics professionals. What You'll Do
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
What You Bring
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, with the ability to define and evolve new ones
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
Comfortable operating in fast-paced, evolving environments with incomplete information
About Walmart eCommerce Walmart US eCommerce is redefining the future of retail by combining scale, data, and technology to help people save money and live better. Marketplace Partner Payments plays a critical role in enabling trusted, fast, and scalable financial experiences for sellers across one of the world's largest platforms. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. 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. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices . Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart (https://one.walmart.com/) .
Bentonville, Arkansas US-09401: The annual salary range for this position is $110,000.00 - $220,000.00
San Bruno, California US-08848 | Sunnyvale, California US-04396: The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.
Primary Location...
702 Sw 8Th St, Bentonville, AR 72716, United States of America
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.
Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.
