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Senior Data Scientist (Machine Learning)

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 (Machine Learning): Developing and deploying predictive models and scalable analytical solutions for Walmart's Supply Chain Labor Optimization platform with an accent on Python, SQL, statistical analysis, and data visualization. Focus on optimizing labor allocation across fulfillment and distribution centers, maintaining production models, and mentoring junior data scientists.

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

Annual salary: $90,000–$180,000, plus performance-based bonuses and possible stock compensation.

Company

hirify.global supports Walmart's Supply Chain Finance organization, whose analytics platform improves labor allocation across fulfillment and distribution centers using millions of records daily.

What you will do

  • Identify and source data across business domains and assess its quality and suitability for analysis.
  • Develop, test, deploy, scale, and continuously tune predictive and analytical models using Python and SQL.
  • Perform exploratory data analysis and apply statistical and machine learning methods to generate actionable business insights.
  • Translate stakeholder and business requirements into data-driven solutions aligned with organizational goals.
  • Create visualizations for technical and non-technical audiences and collaborate cross-functionally.
  • Mentor junior team members on modeling techniques and best practices.

Requirements

  • Extensive experience in data science and advanced statistical methods for developing and validating predictive models.
  • Proficiency in Python and data visualization tools such as Matplotlib, Plotly, or Tableau.
  • Strong knowledge of machine learning, data mining, and exploratory data analysis.
  • Expertise in identifying data sources, assessing data quality, and using database technologies including SQL and NoSQL.
  • Ability to deploy, scale, and maintain analytical models in production environments.
  • Ability to translate business requirements into actionable data solutions and collaborate cross-functionally.
  • Experience mentoring junior team members.
  • Minimum qualification: a bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field plus 3 years of analytics-related experience; or a master's degree in one of these fields plus 1 year of analytics-related experience; or 5 years of experience in an analytics or related field.

Nice to have

  • Experience in data science, machine learning, and optimization models.
  • A master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
  • Successful completion of assessments in Python, Spark, Scala, or R.
  • Experience with open-source frameworks such as scikit-learn, TensorFlow, or Torch.
  • Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility best practices.

Culture & Benefits

  • Full-time employment with health, vision, and dental coverage.
  • Benefits include 401(k), stock purchase opportunities, company-paid life insurance, disability coverage, and company discounts.
  • Paid time off includes sick leave, parental and family care leave, bereavement, jury duty, voting leave, vacation, and holidays, subject to eligibility and plan terms.
  • Walmart-paid education benefits cover eligible programs from high school completion through bachelor's degrees, including English Language Learning and certificates.
  • Benefits and paid leave depend on job classification, length of employment, eligibility, and applicable plan terms.

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