Senior Manager, Data Science, Last Mile Optimization

Walmart

Quick summary

Work type
On-site
Location
Bentonville, AR
Salary
$110,000–$220,000 / yr
Posted
4 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $179k
This role $165k
$96k most similar roles pay here $239k

This role pays more than 50% of similar roles. Most pay $145,462–$212,300 — the shaded band above. At the midpoint, this role pays about $165k versus about $179k for comparable roles.

Based on 240 similar postings.

Employer

About Walmart

Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail

Walmart currently has 311 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 303 roles with salary data.

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At a glance

TL;DR · Senior Manager, Data Science, Last Mile Optimization

As a Sr. Manager (IC), Data Science - Last Mile Optimization at Walmart, you will lead the development of advanced systems that integrate real-time data and AI to enhance last-mile delivery operations across Spark Driver, the largest network in the U.S., covering all 50 states. Your role involves building scalable models using Python, R, CPLEX, and SQL to optimize supply chain logistics, particularly during peak seasons like Q4 and holidays. You will develop predictive simulations, evaluate business cases, and communicate technical approaches effectively with stakeholders at all levels. Additionally, you will mentor data science professionals and ensure project excellence by identifying key performance metrics and optimizing algorithms for cost efficiency and service level improvements. This position requires a PhD or Master’s degree in Operations Research, Industrial Engineering, Computer Science, Mathematics, or related fields, along with extensive experience in operations research and machine learning applications for supply chain optimization.

What you'll do

  • Develop end-to-end optimization engine for supply and demand balance in last-mile delivery.
  • Create predictive simulations to evaluate optimal strategies during peak seasons and events.
  • Evaluate business cases for projects using analytical model evaluation metrics.
  • Mentor data science professionals to enhance technical skills and project outcomes.
  • Utilize Python, R, CPLEX, and SQL to analyze large datasets and optimize algorithms.

What we're looking for

  • PhD or Master’s degree in Operations Research, Industrial Engineering, Computer Science, Mathematics, or related field.
  • 8+ years of experience building optimization algorithms and machine learning models for supply chain logistics.
  • Expertise in linear programming, nonlinear optimization, and predictive simulation using Python, R, CPLEX, and SQL.
  • Strong communication skills to influence stakeholders and present to senior leadership.
  • Proven ability to lead data science projects from conception through implementation.

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