Walmart Canada · 9 hours ago
Staff, Data Scientist - Sponsored Media Mix Modeling & 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 seeking a Staff Data Scientist to join their Measurement, Insights & Data Strategy team. The role involves designing and productizing advanced measurement and machine learning solutions to optimize Sponsored Product Ads, providing actionable insights that drive revenue for both suppliers and the business.
DeliveryRetailShopping
Responsibilities
Build and scale advertiser-ready Media Mix Models (MMM)
Advance incrementality and causal measurement for Sponsored Ads
Develop machine learning models that improve advertiser growth and member experience
Build advertiser-level segmentation and retention models that drive supplier growth, along with member-level ad response prediction models that optimize performance while protecting the member experience
Own experimentation strategy for new ad products and formats
Partner with Product, Engineering, and Ads teams to design rigorous experiments for SPA product launches, interpret results, and translate findings into clear recommendations that influence roadmap and go-to-market decisions
Productize data science solutions at scale
Deliver production-grade modeling systems with robust pipelines, monitoring, and retraining
Apply AI-driven approaches to automate workflows, accelerate insights, and ensure measurement solutions are scalable, testable, and repeatable
Act as a technical thought partner across MAP
Lead cross-functional discussions on measurement and modeling tradeoffs, educate stakeholders, and provide clear, actionable guidance that balances analytical rigor with business impact
Qualification
Required
A master's degree or higher in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related quantitative field, plus 5+ years of industry experience applying advanced analytics and machine learning to real-world business problems
A proven track record of building and scaling production-grade data science systems, including model training pipelines, evaluation, monitoring, and retraining for decision-critical use cases
Deep hands-on experience with Media Mix Modeling (MMM) for budget planning and optimization, including saturation curves, diminishing returns, marginal ROAS, and Bayesian or frequentist approaches — with the ability to translate outputs into clear business recommendations
Strong expertise in causal inference and experimentation, including A/B testing, power analysis, difference-in-differences, matched or synthetic controls, and Bayesian time series methods, with at least 2+ years of hands-on causal ML or experimentation experience
Solid grounding in machine learning and statistical modeling, including advertiser segmentation, ad response prediction, uplift modeling, and bias–variance tradeoffs; exposure to keyword or bidding optimization is a plus
High proficiency in Python and SQL, with experience working in large-scale data environments (e.g., BigQuery, Dataproc), distributed data processing, and feature pipeline development. Experience with TensorFlow or similar frameworks is preferred
Familiarity with modern analytics and measurement tooling, such as Google Meridian or similar MMM platforms, and GenAI / LLM-based tools for automation and scalable insight generation
A strong analytical mindset, comfort operating in ambiguity, and a collaborative, impact-driven approach to partnering with Product, Engineering, and Advertising teams
Retail Media or Sponsored Product Ads experience is a plus, as is prior experience building scalable media measurement or targeting solutions
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
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. 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.
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. 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.
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