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6 дней назад

Staff Data Scientist (Machine Learning)

143 000 - 286 000$
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
Staff Data Scientist (Machine Learning): Building analytical foundations, experimentation frameworks, and product insights for Walmart's eCommerce discovery, navigation, deals, and recommendation experiences with an accent on product analytics, customer behavior analysis, and large-scale experimentation. Focus on designing causal experiments, developing reproducible SQL/Python/PySpark workflows, interpreting ML-driven product behavior, and influencing product decisions through clear analytical storytelling.

Location: Sunnyvale, California, United States

Annual salary: $143,000–$286,000, plus performance-based bonuses and possible stock compensation.

Company

hirify.global develops advertising and eCommerce experiences that help Walmart customers discover relevant products and services.

What you will do

  • Define success metrics, measurement strategies, and opportunity assessments for discovery features and recommendation algorithms.
  • Analyze clickstream data, user logs, customer engagement, funnels, cohorts, attribution, and retention across discovery pages.
  • Design and evaluate large-scale A/B tests using power analysis, guardrail metrics, quasi-experimental methods, and causal inference.
  • Use SQL across BigQuery, Hive, and Spark, and build reproducible analytical pipelines with Python and PySpark.
  • Apply machine learning concepts, data mining, and feature diagnostics to understand product and model performance.
  • Translate analytical findings into product recommendations and influence Product, Engineering, Business, UX, and Data Science partners.

Requirements

  • Eligible degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, or equivalent analytics experience.
  • At least 6 years of experience in analytics or a related field; preferred profiles include 8+ years of product analytics, data science, applied analytics, or experimentation experience.
  • Expert-level SQL and strong Python programming skills.
  • Hands-on experience designing and analyzing large-scale A/B tests.
  • Knowledge of machine learning model concepts and evaluation techniques.
  • Strong communication, analytical storytelling, stakeholder management, and cross-functional collaboration skills.

Nice to have

  • Experience with optimization models, open-source frameworks such as scikit-learn, TensorFlow, or Torch, and assessments in Python, Spark, Scala, or R.
  • PhD or master's degree in machine learning, computer science, information technology, operations research, statistics, applied mathematics, econometrics, business administration, or information systems.
  • Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.

Culture & Benefits

  • Full-time employment with medical, vision, and dental coverage.
  • 401(k), stock purchase options, company-paid life insurance, and performance-based compensation.
  • Paid time off, sick leave, parental leave, family care leave, bereavement leave, jury duty leave, and voting leave.
  • Short- and long-term disability coverage, discounts, military leave pay, and adoption and surrogacy expense reimbursement.
  • Walmart-funded education programs covering tuition, books, and fees for eligible employees.

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