Senior Manager, Data Science - Business Multi-Node Fulfillment Strategy & Network Optimization

(USA) Senior Manager, Data Science - Walmart Business Multi-Node Fulfillment Strategy & Network Optimization

Position Summary...

Role summary:
As a Senior Manager, Data Science, you will lead advanced analytics and network optimization initiatives supporting Walmart Business multi-node fulfillment strategy. You will develop scalable models across network design, capacity planning, cost-to-serve, inventory, and transportation to evaluate how demand should flow across FCs, RDCs, HVDCs, PDCs, IDCs, Stores, and other fulfillment assets. This role requires strong expertise in Python, SQL, optimization, machine learning, and data visualization, along with the ability to translate complex supply chain problems into actionable recommendations, partner with cross-functional stakeholders, mentor associates, and influence long-range network, operational, and investment decisions.

About the team:
The Supply Chain Strategy team at Walmart drives long-term network planning through data-driven strategies, advanced modeling, and cross-functional collaboration. The team assesses strategic locations, capacity needs, inventory flows, transportation design, and capital investments. Collaborating with Operations, Finance, Technology, and other departments, they develop scalable analytical frameworks using Python, SQL, optimization, simulation, and AI. Their insights support enterprise decisions on asset strategy, capacity expansion, fulfillment design, network evolution, customer speed, operating costs, and multi-year capital deployment, enabling Walmart to optimize its supply chain and deliver value efficiently.

What you'll do:

• Lead the development, assessment, and validation of Data science models using best practices to ensure accuracy, robustness, and scalability.
• Design and implement data visualization solutions that effectively communicate complex insights to business stakeholders.
• Collaborate with cross-functional teams to translate business requirements into actionable data science projects aligned with strategic goals.
• Guide and mentor team members on modeling techniques, feature engineering, and data analysis methodologies.
• Oversee model deployment, monitoring, and continuous improvement to maintain optimal performance in production environments.
• Drive data strategy execution by identifying relevant data sources and ensuring data quality and accessibility.

What you'll bring:

• Extensive experience in data science, operations research, optimization, and advanced analytics for complex business problems.
• Strong proficiency in Python, SQL, and visualization tools such as Tableau, Power BI, or Matplotlib.
• Hands-on experience with linear/integer programming, simulation, network optimization, scenario analysis, and sensitivity testing.
• Ability to translate ambiguous business questions into structured models and decision-ready recommendations.
• Experience in network design, capacity planning, cost-to-serve, transportation, inventory, or fulfillment optimization preferred.
• Strong understanding of model validation, tradeoffs, ROI, and financial impact.
• Proven leadership skills to mentor associates, influence stakeholders, and communicate effectively with senior leadership.

Minimum Qualifications...

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, tensor flow, 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.

Primary Location...

609 N Walton Blvd, Bentonville, AR , United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance…