(USA) Senior Manager, Data Science - Last Mile Forecasting & Optimization

Walmart • Bentonville, AR

19h • $110,000 - $220,000

About The Position

Join Walmart’s AI Revolution in Last-Mile Delivery In Walmart’s Last-Mile Delivery team, we’re building intelligent systems that combine real-time data, AI agents, and scalable platforms to power our delivery infrastructure. Spark Driver—our largest last-mile network—now spans all 50 states, reaches over 94% of U.S. households, and plays a pivotal role in Walmart’s eCommerce growth by enabling fast, flexible, and cost-effective fulfillment. Position Summary We are seeking a Sr. Manager (IC), Data Science - Last Mile Forecasting & Optimization who brings deep expertise in ML and operations research methods to solve large scale forecasting and logistics optimization problems. The problem statements include but not limit to 1) near real-time Spark driver supply and demand forecasting 2) mid-long range last mile demand forecasting 3) dynamic capacity and costs optimization across diverse delivery assets.

Requirements

• PhD (or Master) in Operations Research, Industrial Engineering, Computer Science, Mathematics, or related field.
• 4+ years of programming in Python, R, Spark, HiveQL, SQL or related language experience
• 6+ years of building large scale optimization / operations research algorithms and machine learning models for supply chain and logistics applications
• Experience in GCP/Azure.
• Experience collaborating across product, operations, and technical teams.
• Effective communicator with an ability to explain complex ideas to non-technical audiences.
• 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

• PhD (or Master) in Operations Research, Industrial Engineering, Computer Science, Mathematics, or related field.
• Experience in publications at top-tier conferences or journals
• 8+ years of building optimization / operations research algorithms and machine learning models for supply chain and logistics applications
• 8+ years of mathematics optimization such as linear programming and nonlinear optimization experience
• Communication: Excellent written and verbal communication skills for both technical and non-technical audiences. Experiences with presenting to senior leadership.
• 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

• Develop advanced ML algorithms to forecast demand and Spark driver supply across all horizons (intraday, intraweek, and 52 weeks horizon).
• Develop multi-delivery asset demand allocation and capacity optimization engine using core operations research and simulation methods.
• Develop predictive simulation and scenario evaluation capabilities to balance supply and demand while minimizing costs.
• Drive synergies across different models / engines in terms of algorithmic innovation and sharing of best practices.
• Evaluate proposed business cases for projects and initiatives.
• Translate business requirements into strategies, initiatives, and projects, align them with business strategy and objectives, and drive the execution of deliverables.
• Clearly communicate technical approaches with both technical and non-technical stakeholders.
• Quantify business impact and ensure regular impact measurement of all ML products in the domain.
• Identify and review model evaluation metrics based on analytical requirements.
• Provide thought-leadership to Walmart LMD leadership and business partners in delivering AI / ML solutions to strategic areas.

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. 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 1-10 employees