(USA) Distinguished, Data Scientist - Operations Research

Walmart•Bentonville, AR

1d•Onsite

About The Position

The Distinguished Data Scientist leads advanced analytics initiatives to solve complex business challenges using machine learning, predictive modeling, optimization, and data visualization. The role applies expertise in data strategy, model development, and deployment to deliver actionable insights and measurable business impact. It works across functions to translate business needs into data solutions, mentors team members, and supports continuous improvement, with a strong foundation in statistical and optimization methods, coding, and data governance. The role is part of Walmart’s Supply Chain Strategy team, which conducts long-term network planning through data-driven methods, advanced modeling, and cross-functional collaboration. The team assesses strategic locations, capacity, inventory flows, transportation, and capital investments. In partnership with Operations, Finance, and Technology, it develops analytical frameworks using Python, SQL, optimization, simulation, and AI. Its FALCON unified modeling approach integrates multidimensional data to inform decisions about asset strategy, capacity expansion, fulfillment design, and network evolution, with the goal of improving supply chain efficiency and delivering business value.

Requirements

Extensive experience in advanced data analysis, machine learning, and causal inference for solving complex business problems.
Strong background and experience in mathematical optimization, such as mixed integer programming, greedy search, and other heuristics.
Proficiency in data visualization tools and techniques.
Ability to translate business requirements into actionable analytics strategies aligned with organizational goals.
Skill in coding languages such as Python and SQL for developing and testing analytical models.
Ability to mentor teams and communicate complex data insights effectively.
Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, and 7 years of experience in an analytics-related field.
Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, and 5 years of experience in an analytics-related field.
Option 3: 9 years of experience in an analytics or related field.
3 years of supervisory experience.

Nice To Haves

Experience in data science, machine learning, or optimization models.
Ph.D. in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
Successful completion of one or more assessments in Python, Spark, Scala, or R.
Supervisory experience.
Experience using open-source frameworks such as scikit-learn, TensorFlow, or Torch.

Responsibilities

Analyze complex business problems using advanced data analytics, machine learning, and optimization to identify root causes and recommend solutions.
Develop and implement predictive models and optimization algorithms to support strategic initiatives and improve operational outcomes.
Design and deliver clear data visualizations and narratives tailored to stakeholder needs to support informed decision-making.
Collaborate with cross-functional teams to translate business requirements into scalable data strategies and technology solutions.
Mentor team members on analytical methods, model validation, and best practices.
Monitor deployed models for accuracy, sustainability, and alignment with business objectives.

Benefits

Medical, vision, and dental coverage.
401(k), stock purchase, and company-paid life insurance.
Paid time off, including sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting time.
Short-term and long-term disability.
Company discounts.
Military Leave Pay.
Adoption and surrogacy expense reimbursement.
Live Better U, a Walmart-paid education benefit program for eligible full-time and part-time associates, covering tuition, books, and fees for eligible programs.
Performance-based bonus awards, including annual or quarterly performance bonuses.
Stock compensation may be included for certain positions.