(USA) Senior Manager, Data Science - Last Mile Delivery

Walmart-posted 4 months ago
$110,000 - $220,000/Yr
Full-time • Senior
Bentonville, AR
General Merchandise Retailers
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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.

  • 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.
  • 6-8+ years of experience in data science, machine learning, and logistics or routing optimization.
  • Proven leadership experience managing projects or teams in a technical environment.
  • Expertise in advanced ML techniques, optimization, and cloud platforms (e.g., GCP).
  • Strong business acumen combined with exceptional communication and stakeholder management skills.
  • 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).
  • Knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards and assistive technologies.
  • Competitive pay and performance-based bonus awards.
  • Health benefits including medical, vision and dental coverage.
  • Financial benefits including 401(k), stock purchase and company-paid life insurance.
  • Paid time off benefits including PTO, parental leave, family care leave, bereavement, jury duty, and voting.
  • Short-term and long-term disability.
  • Company discounts.
  • Military Leave Pay.
  • Adoption and surrogacy expense reimbursement.
  • Live Better U education benefit program for associates.
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