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12 дней назад

Senior Data Scientist

168 917 - 234 000$
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 (Python/SQL): Developing statistical and machine learning models, large-scale datasets, and analytical pipelines for Walmart eCommerce with an accent on experimentation, product insights, and distributed data processing. Focus on validating predictive algorithms, analyzing user behavior and conversion propensity, and scaling models across complex data systems.

Location: Sunnyvale, CA, United States — onsite at 1375 Crossman Avenue

Salary: $168,917–$234,000 per year, plus annual or quarterly performance incentives.

Company

hirify.global supports Walmart eCommerce through data-driven business and product solutions.

What you will do

  • Develop custom statistical and machine learning models for business, product, search, and user insights.
  • Build complex datasets from internal and external sources, including large-scale structured and unstructured data.
  • Design learning systems to process continuous data flows and perform offline analysis.
  • Train, validate, and scale algorithms across large datasets to predict user behavior, conversion propensity, and future data characteristics.
  • Conduct advanced statistical analysis, A/B experiments, regression-based studies, and quasi-experimental analyses.
  • Collaborate with cross-functional partners and project teams supporting Walmart eCommerce.

Requirements

  • Bachelor’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering, or a related field plus 3 years of analytics or related experience; or a master’s degree plus 1 year of experience.
  • Experience using SQL and Python to query, clean, and analyze large-scale data across cloud data warehouses and distributed systems.
  • Experience developing and validating machine learning models in Python, including feature engineering and standard model evaluation.
  • Experience with statistical modeling, hypothesis testing, A/B experimentation, regression, t-tests, ANOVA, pre/post analysis, and difference-in-differences.
  • Experience automating analytics datasets and data pipelines and creating aggregate views for business intelligence tools.
  • Experience identifying business metrics, designing measurement plans, and visualizing metrics with Tableau, Power BI, or Looker.

Culture & Benefits

  • Full-time employment with medical, vision, and dental coverage.
  • 401(k), stock purchase opportunities, and company-paid life insurance.
  • Paid time off, including sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
  • Short-term and long-term disability coverage, education assistance, and company discounts.
  • Performance-based incentive awards and additional employee support programs.

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