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Walmart Canada · 1 month ago

(USA) Senior Manager, Data Science

Bentonville, AR

Full-time

Onsite

Mid, Senior Level

$110K/yr - $220K/yr

5+ years exp

Walmart Canada is a leading retail company, and they are seeking a Senior Manager, Data Science to evolve their approach to marketing effectiveness. The role involves developing a state-of-the-art Media Mix Model powered by Bayesian statistics and integrating it with advanced AI workflows to drive data-driven marketing strategies.

DeliveryRetailShopping

Responsibilities

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors, implementing sophisticated MCMC sampling techniques, and developing robust methods for handling time-varying effects, diminishing returns, and competitive factors

Architect Agentic AI Workflows: Develop and deploy multi-agent systems (Agentic AI) to automate the entire measurement lifecycle. This involves automating data ingestion and cleaning, model version control, adaptive prior selection, and dynamic insight generation from the MMM results

Drive Probabilistic Forecasting & Simulation: Utilize the full posterior distribution from the Bayesian models to generate probabilistic forecasts and comprehensive scenario simulations, enabling Marketing and Finance teams to make data-driven, risk-aware investment decisions

Integrate Causal Insights: Integrate MMM output with other causal inference models (e.g., A/B tests, Geospatial Experiments, uplift models) to create a unified, holistic view of marketing performance and decompose brand vs. sales effects

Scale and Operationalize: Partner closely with Engineering teams to transition models from research prototypes to highly reliable, performant, and automatically updating production systems that serve real-time investment recommendations to marketing platforms

Influence Strategy: Communicate complex probabilistic and causal insights clearly to C-suite and Senior Leadership, translating modeling results into clear, actionable budget allocation and tactical campaign optimization strategies

Qualification

Bayesian statisticsMCMC methodsAgentic AI workflowsMachine learning algorithmsDeep LearningPythonStatistical modelsGenerative AI systemsReinforcement LearningData scienceOptimization modelsSupervisory experienceDigital accessibility

Required

Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field

Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field

5 years' experience in an analytics or related field

2+ years focused on implementing and deploying complex casual/statistical models for business impact

Expert-level experience with Markov Chain Monte Carlo (MCMC) methods and associated libraries (e.g., PyMC)

Proven experience in designing and deploying Agentic AI workflows or Generative AI systems (e.g., LLMs, multi-agent frameworks) to automate and optimize data science pipelines

Deep understanding of diverse machine learning algorithms, including Deep Learning (Neural Networks, PyTorch/TensorFlow) and Reinforcement Learning concepts

PhD or Masters in Computer Science, Statistics, Mathematics, or a highly quantitative field with 5+ years of relevant industry experience

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

Supervisory experience

Using open source frameworks (for example, scikit learn, tensorflow, torch)

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

Knowledge of accessibility best practices

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.

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.