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2 дня назад

Senior Data Scientist (AI)

90 000 - 180 000$
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 Data Scientist (AI): Designing and deploying scalable machine learning and mathematical optimization models for Walmart's inventory decision systems with an accent on automated decision-making, model reliability, and production readiness. Focus on developing decision logic, validating models, engineering features, and translating complex inventory problems into data-informed solutions.

Location: Onsite in Bentonville, Arkansas, United States

Salary: $90,000–$180,000 annual salary in Bentonville; $117,000–$234,000 annual salary in Sunnyvale, California. Additional performance bonuses and, for certain positions, stock may apply.

Company

Walmart operates a retail network and develops applied AI and data-driven solutions for inventory management and operational decision-making.

What you will do

  • Design and implement mathematical optimization models and machine learning solutions for automated inventory decision-making.
  • Develop, test, validate, and deploy scalable models using statistical, machine learning, and optimization techniques.
  • Evaluate data sources, perform exploratory analysis, and engineer features for model development and decision logic.
  • Translate complex business problems into decision-driven, data-informed solutions with engineering, product, and business stakeholders.
  • Create data visualizations and communicate analytical findings to support business decisions.
  • Maintain data governance, quality, reliability, and production deployment standards.

Requirements

  • Experience designing optimization models and machine learning solutions for automated decision systems.
  • Strong knowledge of advanced statistics, machine learning, mathematical optimization, and data science methods.
  • Proficiency in Python and relevant data science libraries.
  • Knowledge of SQL and NoSQL database technologies and data quality assessment practices.
  • Bachelor’s degree in a relevant field plus 3 years of analytics experience, or a master’s degree plus 1 year of experience, or 5 years of analytics-related experience.
  • Ability to collaborate cross-functionally and translate complex requirements into production-ready solutions.

Nice to have

  • Experience with Spark, Scala, R, scikit-learn, TensorFlow, or Torch.
  • Master’s degree in machine learning, computer science, information technology, operations research, statistics, applied mathematics, or econometrics.
  • Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.

Culture & Benefits

  • Medical, vision, and dental coverage.
  • 401(k), stock purchase opportunities, and company-paid life insurance.
  • Paid time off, sick leave, parental leave, family care leave, and bereavement leave.
  • Short- and long-term disability coverage, discounts, military leave pay, and adoption and surrogacy reimbursement.
  • Walmart-paid education benefits covering eligible programs, tuition, books, and fees.

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