Staff, Data Scientist

Walmart Walmart · Retail · Bentonville, AR

Staff Data Scientist at Walmart focused on optimizing transportation logistics through data science and optimization methods. Develops data-driven decision frameworks for routing, mode selection, and capacity planning, partnering with cross-functional teams to embed insights into scalable systems. Requires strong skills in optimization, programming (Python/R), SQL, and large-scale data platforms.

What you'd actually do

  1. Develop scalable frameworks that transform demand and workload signals into inputs for optimization models, improving visibility into future constraints and system performance.
  2. Partner closely with Finance, Operations, and other key stakeholders.
  3. Build productive and positive relationships across the organization at all levels to drive influence.

Skills

Required

  • Python
  • R
  • Pyomo
  • OR-Tools
  • CPLEX
  • pandas
  • NumPy
  • SQL
  • Hive
  • Big Query
  • optimization
  • decision science
  • resource allocation
  • scheduling
  • network design
  • linear programming
  • mixed-integer programming
  • heuristics
  • simulation
  • feature engineering
  • exploratory analysis
  • model-driven decision support
  • mathematical optimization
  • probability
  • statistical concepts
  • data extraction
  • data transformation
  • data manipulation

Nice to have

  • machine learning
  • PhD in Machine Learning
  • Computer Science
  • Information Technology
  • Operations Research
  • Statistics
  • Applied Mathematics
  • Econometrics
  • Spark
  • Scala
  • scikit learn
  • tensorflow
  • torch
  • Web Content Accessibility Guidelines (WCAG) 2.2 AA

What the JD emphasized

  • optimization and decision science methods
  • large-scale optimization problems
  • data science and analytical techniques
  • mathematical optimization, probability, and statistical concepts
  • data extraction, transformation, and manipulation using SQL and large-scale data platforms
  • fast-paced environments, managing multiple initiatives and delivering scalable, high-impact solutions under tight timelines