(usa) Senior Manager, Data Science - Last Mile Optimization

Walmart Walmart · Retail · Together Building AR Bentonville

Senior Manager, Data Science focused on Last Mile Optimization at Walmart. The role involves developing an end-to-end operations decision optimization engine, predictive simulation capabilities, and evaluating business cases. It requires expertise in ML, operations research, forecasting, logistics, and programming languages like Python, R, and CPLEX. The role also involves mentoring data science professionals and influencing stakeholders.

What you'd actually do

  1. Develop end-to-end operations decision optimization engine that balances supply and demand while optimizing cost to serve and service level.
  2. Develop predictive simulation and scenario evaluation capabilities to evaluate the optimal supply vs. demand shaping strategies for holidays, Q4 peak, and weather events.
  3. Evaluate proposed business cases for projects and initiatives.
  4. Clearly communicate technical approaches with both technical and non-technical stakeholders.
  5. Identify and review model evaluation metrics based on analytical requirements.

Skills

Required

  • 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.
  • Extensive experience in data science with strong proficiency in Python, CPLEX, R, and SQL programming languages.
  • Proven ability to lead and manage data science projects, leveraging operations research and applied science principles.

Nice to have

  • 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 c

What the JD emphasized

  • 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

Other signals

  • optimization
  • forecasting
  • logistics
  • supply chain
  • real-time data
  • machine learning