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Senior Manager, Data Science - Walmart Business Multi-Node Fulfillment Strategy & Network Optimization

110 000 - 220 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Manager, Data Science - Walmart Business Multi-Node Fulfillment Strategy & Network Optimization (Python/SQL/Optimization): Building scalable data science and network optimization models for fulfillment strategy, capacity planning, inventory, transportation, and cost-to-serve with an accent on multi-node supply chain analytics and decision-ready recommendations. Focus on linear and integer programming, simulation, scenario analysis, model deployment, and influencing long-range network and investment decisions.

Location: Bentonville, Arkansas, United States; onsite at the Walmart Home Office

Salary: $110,000–$220,000 annual salary, plus performance-based bonuses and possible stock compensation

Company

Walmart operates a large-scale retail and supply chain network, with this role supporting Walmart Business fulfillment strategy and network optimization.

What you will do

  • Lead the development, assessment, validation, deployment, monitoring, and continuous improvement of scalable data science models.
  • Develop analytical models for network design, capacity planning, cost-to-serve, inventory, transportation, and fulfillment across FCs, RDCs, HVDCs, PDCs, IDCs, Stores, and other fulfillment assets.
  • Design data visualization solutions using tools such as Tableau, Power BI, or Matplotlib to communicate complex insights to business stakeholders.
  • Translate business requirements and ambiguous supply chain questions into actionable data science projects and decision-ready recommendations.
  • Partner with Operations, Finance, Technology, and other cross-functional stakeholders to support network, operational, and investment decisions.
  • Mentor associates on modeling techniques, feature engineering, and data analysis methodologies, and communicate findings to senior leadership.

Requirements

  • One of the following minimum qualification paths: a bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field plus 5 years of experience in an analytics-related field; a master's degree in one of these fields plus 3 years of experience; or 7 years of experience in an analytics or related field.
  • Extensive experience in data science, operations research, optimization, and advanced analytics for complex business problems.
  • Strong proficiency in Python and SQL.
  • Hands-on experience with linear and integer programming, simulation, network optimization, scenario analysis, and sensitivity testing.
  • Ability to translate ambiguous business questions into structured models and decision-ready recommendations.
  • Strong understanding of model validation, tradeoffs, ROI, and financial impact.
  • Proven leadership skills to mentor associates, influence stakeholders, and communicate effectively with senior leadership.

Nice to have

  • Experience in network design, capacity planning, cost-to-serve, transportation, inventory, or fulfillment optimization.
  • Data science, machine learning, and optimization modeling experience.
  • PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
  • Successful completion of assessments in Python, Spark, Scala, or R.
  • Supervisory experience.
  • Experience with open-source frameworks such as scikit-learn, TensorFlow, or Torch.
  • Knowledge of inclusive digital experiences, WCAG 2.2 AA, assistive technologies, and digital accessibility best practices.

Culture & Benefits

  • Full-time employment with medical, vision, and dental coverage.
  • Financial benefits include 401(k), stock purchase opportunities, and company-paid life insurance.
  • Paid time off includes PTO, sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
  • Additional benefits include short- and long-term disability, company discounts, military leave pay, and adoption and surrogacy expense reimbursement.
  • Live Better U provides Walmart-paid education benefits for eligible full-time and part-time associates, including tuition, books, and fees for selected programs.

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