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3 дня назад

Principal Data Scientist (AI)

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
Principal Data Scientist (AI): Building scalable AI- and LLM-powered data products and advanced statistical models for market and competitive intelligence with an accent on structured and unstructured data, machine learning, and enterprise decision support. Focus on designing workflow-automation agents, validating model outputs through guardrails and human-in-the-loop review, and translating competitive insights into business actions.

Location: San Bruno, California, United States

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

Company

hirify.global develops retail advertising and data-driven solutions within Walmart.

What you will do

  • Analyze large, complex datasets to identify trends, patterns, competitive performance insights, and growth opportunities.
  • Research, develop, and implement advanced statistical models and machine learning algorithms for structured and unstructured data.
  • Build scalable AI- and LLM-powered data products for business partners and customers.
  • Develop AI and LLM-powered agents for workflow automation and information extraction.
  • Communicate findings through reports, visualizations, and presentations for technical and non-technical stakeholders.
  • Guide and mentor junior data scientists.

Requirements

  • Master’s degree in Data Science, Computer Science, Statistics, or a related analytical discipline with 4+ years of relevant post-graduate experience, or a PhD with 2+ years of relevant post-graduate experience.
  • Alternatively, a bachelor’s degree with 5 years of analytics experience, a master’s degree with 3 years of analytics experience, or 7 years of experience in an analytics-related field.
  • Strong proficiency in Python and SQL.
  • Strong data engineering foundation, including modular code, pipeline architecture, and performance optimization.
  • Hands-on experience scaling AI/LLM-powered agents, evaluating outputs, implementing guardrails, validating accuracy, and applying human-in-the-loop review.

Nice to have

  • Experience with Spark, Scala, R, scikit-learn, TensorFlow, or PyTorch.
  • Background in data science, machine learning, optimization models, or related research and publications.
  • Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.

Culture & Benefits

  • Medical, vision, and dental coverage.
  • 401(k), stock purchase plan, company-paid life insurance, and disability benefits.
  • Paid time off, sick leave, parental leave, family care leave, and other leave programs.
  • Employee discounts and adoption and surrogacy expense reimbursement.
  • Walmart-paid education programs covering tuition, books, and fees for eligible associates.

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