(USA) Director, Data Science - Operations Research

Walmart•Bentonville, AR
•$130,000 - $260,000

About The Position

As Director of Data Science, you will lead the development and deployment of advanced analytical models and data strategies that drive business value across multiple domains. The role calls for expertise in operations research, machine learning, data visualization, and coding to turn complex business challenges into actionable insights. You will guide teams in delivering scalable solutions, ensuring data quality, and aligning initiatives with organizational objectives. Through cross-functional collaboration, you will influence decisions with data storytelling and foster innovation in support of Walmart’s strategic goals. The position is part of Walmart’s Supply Chain Strategy team, which leads long-term network planning through data-driven approaches, advanced modeling, and cross-functional collaboration. The team evaluates 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 insights inform enterprise decisions about asset strategy, capacity expansion, fulfillment design, network evolution, customer speed, operating costs, and capital deployment. The annual salary range is $130,000 to $260,000. Additional compensation includes annual or quarterly performance bonuses, and some positions may also include stock. The role is based at 805 Respect, Bentonville, Arkansas.

Requirements

  • Extensive experience in data science, machine learning algorithms, and advanced analytical modeling techniques.
  • Proficiency in Python, SQL, and Java for code development, testing, and deployment.
  • Strong business acumen and ability to translate complex data insights into actionable strategies aligned with organizational goals.
  • Expertise in data strategy, data quality assessment, and identifying suitable data sources for scalable solutions.
  • Proven leadership skills in mentoring teams, managing projects, and driving continuous improvement initiatives.
  • Ability to communicate complex technical concepts effectively to stakeholders and influence decision-making.
  • Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 6 years of experience in an analytics-related field; or a master’s degree in one of those fields and 4 years of experience in an analytics-related field; or 8 years of experience in an analytics or related field.

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.
  • Background creating inclusive digital experiences and knowledge of WCAG 2.2 AA standards, assistive technologies, digital accessibility best practices, and Walmart accessibility standards and guidelines.

Responsibilities

  • Lead development and deployment of advanced data science solutions aligned with business strategies.
  • Oversee coding, testing, and validation of machine learning models to ensure accuracy and robustness.
  • Translate complex business requirements into actionable data strategies and technical initiatives.
  • Guide data source identification, quality assessment, and integration for scalable analytics.
  • Mentor, manage, and develop data science teams, fostering technical expertise and innovation.
  • Collaborate cross-functionally to deliver insights that drive operational improvements and business value.
  • Monitor model performance and implement lifecycle management practices to sustain solution effectiveness.

Benefits

  • Competitive pay and performance-based bonus awards.
  • Medical, vision, and dental coverage.
  • 401(k), stock purchase plan, and company-paid life insurance.
  • Paid time off, including sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
  • Short-term and long-term disability.
  • Company discounts.
  • Military Leave Pay.
  • Adoption and surrogacy expense reimbursement.
  • Live Better U education benefit, with tuition, books, and fees paid for eligible programs.
  • PTO and/or PPTO for vacation, sick leave, holidays, or other purposes, subject to classification, length of employment, and applicable program terms.
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