(USA) Senior Manager, Data Science

Position Summary

Lead the strategy and execution for Walmart’s core Last Mile Delivery platform algorithm. Own algorithmic decisions that directly impact customer experience, driver performance, and Walmart’s cost structure. Apply LLMs, Gen AI, and advanced ML techniques to solve high-impact logistics challenges. Act as a thought leader in a high-visibility, independent role with direct senior leadership engagement.

What you'll do

• Own and lead end-to-end strategy, design, and optimization of Last Mile Delivery platform algorithms.
• Serve as the primary thought leader for algorithmic decisions affecting Last Mile logistics.
• Drive alignment with cross-functional teams including engineering, product, and business leadership.
• Integrate cutting-edge technologies such as LLMs, Gen AI, and advanced ML techniques to improve routing efficiency.
• Lead large-scale data analysis to identify opportunities for operational and business improvement.
• Present complex technical insights to senior leadership in a clear, business-relevant way.
• Ensure delivery of scalable, robust, and measurable solutions that impact key business outcomes.
• Mentor and guide junior data scientists and team members.

About the team

Use digital capabilities to capture, smooth, and densify demand, improving customer and driver experience and last-mile efficiency.

What you'll bring

• Proven leadership experience managing projects or teams in a technical environment.
• Expertise in advanced data science, optimization, and AI.
• Strong business acumen combined with exceptional communication and stakeholder management skills.

What you'll bring (continued)

• 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:
  • 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.

Benefits

• 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 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.