(USA) Senior Manager, Data Science - Walmart Business Multi-Node Fulfillment Strategy & Network Optimization
About The Position
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. The role requires expertise in Python, SQL, optimization, machine learning, and data visualization, as well as 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. The Supply Chain Strategy team drives long-term network planning through data-driven strategies, advanced modeling, and cross-functional collaboration. It assesses strategic locations, capacity needs, inventory flows, transportation design, and capital investments. In collaboration with Operations, Finance, Technology, and other departments, the team develops scalable analytical frameworks using Python, SQL, optimization, simulation, and AI. Its insights support enterprise decisions on asset strategy, capacity expansion, fulfillment design, network evolution, customer speed, operating costs, and multi-year capital deployment.
Requirements
- 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.
- Strong understanding of model validation, tradeoffs, ROI, and financial impact.
- Proven leadership skills to mentor associates, influence stakeholders, and communicate effectively with senior leadership.
- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 5 years’ experience in an analytics-related field; or a master’s degree in one of these fields and 3 years’ experience in an analytics-related field; or 7 years’ experience in an analytics or related field.
Nice To Haves
- Experience in network design, capacity planning, cost-to-serve, transportation, inventory, or fulfillment optimization.
- Data science, machine learning, or optimization-model experience.
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
- Successful completion of one or more assessments in Python, Spark, Scala, or R.
- Supervisory experience.
- Experience using open-source frameworks such as scikit-learn, TensorFlow, or Torch.
- Background in creating inclusive digital experiences and knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices.
Responsibilities
- 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 communicate complex insights effectively 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 performance in production environments.
- Drive data strategy execution by identifying relevant data sources and ensuring data quality and accessibility.
- Develop scalable models for network design, capacity planning, cost-to-serve, inventory, and transportation to evaluate demand flows across fulfillment assets.
Benefits
- Competitive pay and performance-based bonus awards.
- Medical, vision, and dental coverage.
- 401(k), stock purchase, and company-paid life insurance.
- Paid time off, including sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
- Short-term and long-term disability.
- Company discounts.
- Military Leave Pay.
- Adoption and surrogacy expense reimbursement.
- PTO and/or PPTO for vacation, sick leave, holidays, or other purposes.
- Live Better U, a Walmart-paid education benefit program for eligible full-time and part-time associates.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
