Walmart Canada · 15 hours ago
Staff, Data Scientist - ML-Driven Audience Targeting & Experimentation
(USA) Sam's Home Office AR Bentonville Home Office
Full-time
Onsite
Senior Level, Lead/Staff
$110K/yr - $220K/yr
4+ years expWalmart Canada is a member-focused organization that leverages data to enhance value for its members and supplier partners. The Staff Data Scientist will lead the development of ML-driven audience targeting solutions and influence onsite media performance through experimentation and storytelling for executive stakeholders.
DeliveryRetailShopping
Responsibilities
Deliver ML-powered audience solutions that drive advertiser outcomes
Own technical partnerships with strategic advertisers
Scale models from concept to production
Lead the end-to-end lifecycle of ML solutions — moving from POC to production by building parameterized, automated, and scalable pipelines in close collaboration with Engineering and Product
Advance experimentation for onsite display media
Design and analyze rigorous A/B tests to evaluate onsite display ad strategies, validate hypotheses, and inform product and media decisions that improve member experience and monetization
Automate insights through GenAI-powered storytelling
Architect and deliver AI-driven solutions that automatically generate executive-ready narratives and presentation materials, dramatically reducing manual reporting while elevating insight quality
Influence executive decision-making through storytelling
Translate complex analytical findings into compelling narratives for VP-level and above stakeholders — clearly articulating ROI, business impact, and strategic implications
Qualification
Required
Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field
Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field
6 years' experience in an analytics or related field
Proven experience building ML models that drive real business impact
3+ years of hands-on, non-academic experience developing and deploying ML models end-to-end — particularly propensity and/or LTV models using tree-based methods (XGBoost, LightGBM)
Strong experimentation and statistical judgment
Deep expertise in A/B testing design and analysis, including power analysis, hypothesis testing, and advanced methods (bootstrapping or Bayesian approaches are a plus)
Experience operationalizing analytics at scale
Comfort turning analytical ideas into production-ready solutions using Python and SQL, with an emphasis on automation, parameterization, and repeatability
GenAI and automation mindset
Demonstrated ability to leverage LLMs or GenAI tools to automate narrative generation, reporting, or presentation creation from data
Ability to bridge data science and executive storytelling
A track record of communicating complex analytical results to senior business stakeholders in a clear, persuasive, and strategic way
Retail media or AdTech exposure (strong plus)
Familiarity with Retail Media Networks, AdTech platforms, or closed-loop measurement environments is highly valued
Modern data & ML tooling experience
Experience with GCP (BigQuery, Dataproc, Vertex AI preferred), and familiarity with engineering best practices such as CI/CD, Docker, PySpark, or scalable data pipelines
Strong quantitative foundation
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
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, 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.
Live Better U is a company paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.
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