Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
Средняя
$110к-220к/год
$140к$170кмедиана$210к
По похожим ролям (50) ~ $170к/год
На СНГ рынке: $4.2к/мес ($3.6к - $4.4к)
78
Хорошая вакансия
развернуть
Роль с огромным влиянием в глобальном ритейл-лидере, очень четким скоупом и современным стеком, хотя оплата чуть ниже рыночного медианного значения.
Кликните для подробной информации
Низкая зарплатаСовременный стекПонятный scopeВозможности обучения
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →