R-2296113

Job description

Applied Research

Analyze large-scale datasets to refine model inputs (forecasts, cost structures, constraints) and improve accuracy and scalability.

Model Development

Design and deliver new models and algorithms across forecasting, placement, inventory targets, safety stock, and exits to optimize cost, speed, and customer experience.

Optimization & Machine Learning

Apply advanced techniques in optimization, probabilistic forecasting, and ML to improve efficiency and resilience across Walmart’s global network.

End-to-End Execution

Lead projects from framing business problems, to building and validating models, to partnering with engineering for deployment.

Collaboration & Influence

Translate science into strategy, working with Merchandising, Supply Chain, and Tech partners to align on priorities and deliver measurable impact.

Future-Focused Capabilities

Advance scenario modeling, dynamic inventory placement, multi-echelon optimization, and placement orchestration for omni-channel fulfillment. What you'll Bring... Strong expertise in applied data science and advanced analytics (optimization, forecasting, simulation, machine learning) Comfortability operating at both strategic and technical depth — from building models to influencing enterprise priorities Experience simplifying complex science for senior leaders and business partners to drive adoption and decision-making

Ability to excel in ambiguous, high-pressure environments with multiple stakeholders and competing priorities A passion for solving global-scale inventory optimization challenges that directly improve customer experience MBA, MS, or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Operations Management, or Supply Chain Management Experience implementing data science models using modern programming languages (e.g., Python, PySpark, R) and using large dataset mining tools (e.g., SQL)

Experience with advanced analytical modeling tools, network optimization, and long-range planning Extensive experience or knowledge of eCommerce, retail and supply chain domains and related information systems — search, impressions, conversion, distribution/transportation, sourcing, planning, manufacturing, and inventory management Retail industry experience 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. 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. For information about PTO, see https://one.walmart.com/notices . 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. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart .

The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include : - Stock

Qualifications

Option 1

Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.

Option 2

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

Option 3

7 years' experience in an analytics or related field.