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Principal Data Scientist (AI/ML)

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/ML): Leading the strategy, architecture, and development of scalable AI/ML solutions for complex retail and e-commerce problems with an accent on machine learning, deep learning, generative AI, and agentic AI. Focus on productionizing models, establishing evaluation and lifecycle-management practices, influencing technical direction, and mentoring data scientists.

Location: Sunnyvale, California, United States

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

Company

A retail and e-commerce organization using market intelligence, advanced analytics, and AI to support strategic decisions and identify growth opportunities.

What you will do

  • Lead the technical strategy, architecture, and development of advanced AI/ML solutions for complex retail and e-commerce challenges.
  • Drive applications of machine learning, deep learning, generative AI, and agentic AI at scale.
  • Design and productionize scalable solutions, including model evaluation, deployment, monitoring, and lifecycle management.
  • Influence technical direction across Data Science, Engineering, Product, and Business teams.
  • Translate business problems into AI/ML solutions with measurable impact and communicate recommendations to senior stakeholders.
  • Mentor data scientists and raise technical standards across the organization.

Requirements

  • Bachelor’s, Master’s, or Ph.D. in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, with relevant analytics experience.
  • Strong expertise in machine learning, deep learning, generative AI, agentic AI, statistics, and scalable production solutions.
  • Proficiency in Python, PyTorch or TensorFlow, NLP, computer vision, and MLOps.
  • Experience with model validation, deployment, lifecycle management, data management, SQL/NoSQL, data quality, and predictive analytics.
  • Technical leadership experience, including defining technical direction, mentoring teams, and driving execution aligned with business objectives.

Nice to have

  • Experience in retail or e-commerce.
  • Ph.D. in machine learning, computer science, information technology, operations research, statistics, applied mathematics, or econometrics.
  • Publications or active peer-review experience in related journals or conferences.
  • Experience with Spark, Scala, R, scikit-learn, TensorFlow, or Torch.
  • Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.

Culture & Benefits

  • Medical, vision, and dental coverage.
  • 401(k), stock purchase options, and company-paid life insurance.
  • Paid time off, including sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
  • Short- and long-term disability coverage, company discounts, military leave pay, and adoption and surrogacy expense reimbursement.
  • Company-paid education benefits covering eligible programs, tuition, books, and fees.

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