Walmart Canada · 15 hours ago
Staff, Data Scientist - Marketplace Payments
San Bruno, CA
Full-time
Onsite
Senior Level, Lead/Staff
$110K/yr - $220K/yr
6+ years expWalmart Canada is a leading retail company, and they are seeking a Staff Data Scientist to drive ML/AI powered payments risk analytics and financial decisioning for Marketplace sellers. This role involves building and scaling predictive models while providing strategic analytical leadership to improve operational excellence and seller financial outcomes.
DeliveryRetailShopping
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
Qualification
Required
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
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
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
Benefits
Competitive pay
Performance-based bonus awards
Medical, vision and dental coverage
401(k)
Stock purchase
Company-paid life insurance
PTO (including sick leave)
Parental leave
Family care leave
Bereavement
Jury duty
Voting
Short-term and long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.
Tuition, books, and fees are completely paid for by Walmart.
Company
Walmart Canada
Walmart Canada is a subsidiary of Walmart that operates a chain of more than 400 stores nationwide. It is a sub-organization of Walmart.
10001+ employees
Funding
Current Stage
Late StageRecent News
Canada NewsWire
2025-12-18
Canada NewsWire
2025-12-03
Company data provided by crunchbase