(USA) Senior Manager, Data Science

Walmart•Bentonville, AR

13d•$110,000 - $220,000

About The Position

Position Summary... You will be a visionary leader and principal architect responsible for evolving Walmart's approach to marketing effectiveness. This role focuses on developing a state-of-the-art, probabilistic Media Mix Model (MMM) powered by Bayesian statistics and streamlined through innovative Agentic AI workflows. What you'll do... 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. What You Will Bring: A rare blend of advanced statistical expertise, full-stack machine learning engineering, and strategic leadership.

Requirements

Bayesian & MCMC Mastery: 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 ).
Agentic AI & Advanced ML: 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.
Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
Option 3 - 5 years' experience in an analytics or related field.

Nice To Haves

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)
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.

Responsibilities

Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC).
Develop and deploy multi-agent systems (Agentic AI) to automate the entire measurement lifecycle.
Utilize the full posterior distribution from the Bayesian models to generate probabilistic forecasts and comprehensive scenario simulations.
Integrate MMM output with other causal inference models to create a unified, holistic view of marketing performance and decompose brand vs. sales effects.
Partner closely with Engineering teams to transition models from research prototypes to highly reliable, performant, and automatically updating production systems.
Communicate complex probabilistic and causal insights clearly to C-suite and Senior Leadership.

Benefits

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.
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.

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