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# Senior Manager, Data Science - Inventory Capabilities

- **Company:** Wal-Mart Stores, Inc.
- **Location:** Bentonville, AR, United States
- **Experience:** Expert
- **Salary:** $110,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Adobe Analytics, Web Accessibility, Data Analysis, Application Frameworks, Big Data, Information Systems, R (Programming Language), Python (Programming Language), Machine Learning, Tensorflow, Scala (Programming Language), SQL Databases, Web Content Accessibility Guidelines, Apache Spark, Pyspark, Scikit Learn, Information Technology, Network Optimization, Programming Languages
- **Published:** August 16, 2026
- **Apply:** https://www.jofdav.com/jobs/59264887-senior-manager-data-science-inventory-capabilities

## About the Role

* 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, Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum 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.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

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.

## 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.


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