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7 дней назад

Principal Data Scientist (AI)

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
Principal Data Scientist (AI): Developing and deploying advanced machine learning, deep learning, and simulation models for retail operations with an accent on scalable production systems, statistical analysis, and MLOps. Focus on validating and improving model accuracy, sourcing high-quality data, translating complex business problems into analytical solutions, and mentoring data science teams.

Location: Bentonville, Arkansas, United States — Walmart home office

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

Company

hirify.global supports Walmart’s retail intelligence initiatives, using AI and advanced analytics to improve operational efficiency across stores.

What you will do

  • Develop, test, and deploy advanced machine learning models using Python and SQL.
  • Analyze complex business problems, identify root causes, and recommend data-driven solutions.
  • Source and validate data from multiple systems for analytical modeling and insight generation.
  • Lead model assessment, validation, continuous improvement, and production scalability.
  • Collaborate with engineering, product, UX, retail operations, and other stakeholders to translate business requirements into data science initiatives.
  • Mentor team members on advanced analytics, coding practices, and data visualization.

Requirements

  • Bachelor’s degree in statistics, economics, analytics, mathematics, computer science, information technology, or a related field plus 3 years of analytics experience; or a master’s degree plus 1 year of experience; or 5 years of relevant experience.
  • Extensive experience developing and testing code with Python, SQL, and Java.
  • Proficiency in machine learning algorithms, deep learning, advanced statistical analysis, and MLOps.
  • Expertise in data source identification, data quality assessment, data strategy, and scalable model deployment.
  • Experience translating complex business problems into analytical models and communicating insights through data visualization.
  • Leadership experience mentoring teams and driving cross-functional collaboration.

Nice to have

  • Experience with optimization models, open-source frameworks such as scikit-learn, TensorFlow, or Torch, and Python, Spark, Scala, or R assessments.
  • PhD in machine learning, computer science, information technology, operations research, statistics, applied mathematics, or econometrics.
  • Research publications or active peer-review experience in relevant journals or conferences.
  • Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.

Culture & Benefits

  • Medical, vision, and dental coverage.
  • 401(k), stock purchase program, company-paid life insurance, and disability coverage.
  • Paid time off, sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
  • Education support through the Live Better U program, including tuition, books, and fees for eligible programs.
  • Additional benefits may include company discounts, military leave pay, and adoption or surrogacy expense reimbursement.

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