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Staff 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
Staff Data Scientist (AI): Building large-scale BuyBox, Search, and Personalization machine learning systems for ranking offers, selecting product variants, and improving customer decisions with an accent on recommendation systems, Learning-to-Rank, Generative AI, LLMs, and neural networks. Focus on leading research through experimentation, A/B testing, production deployment, model monitoring, and measurable impact across millions of products, sellers, and customer interactions.

Location: Sunnyvale, California, United States; home office at 1395 Crossman Ave

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

Company

hirify.global Global Tech develops technology and data products for hirify.global, a large-scale retail and eCommerce business serving hundreds of millions of people.

What you will do

  • Lead machine learning solutions for BuyBox offer ranking, Variant Leader Selection, Search, and Personalization.
  • Build ranking and recommendation systems using Learning-to-Rank, deep learning, neural networks, embeddings, and modern machine learning techniques.
  • Apply Generative AI and LLMs to semantic understanding, personalization, ranking, and customer experience.
  • Lead initiatives from problem formulation and research through offline evaluation, A/B testing, production deployment, monitoring, and impact measurement.
  • Identify data sources, ensure data quality, and build scalable data pipelines and production ML systems.
  • Partner with Product, Engineering, Analytics, and business stakeholders; establish ML practices and mentor Data Scientists.

Requirements

  • Required expertise in machine learning, ranking, recommendation systems, information retrieval, and personalization.
  • Proficiency in Python, BigQuery, PySpark, Hive, and data visualization tools.
  • Deep understanding of Learning-to-Rank, neural networks, embeddings, representation learning, and recommendation techniques.
  • Experience applying Generative AI and LLMs to real-world machine learning problems.
  • Experience building and deploying data pipelines, MLOps, and large-scale production ML systems.
  • Strong knowledge of experimentation, A/B testing, statistical methods, and model evaluation.
  • Ability to lead complex, ambiguous initiatives, influence technical direction, communicate effectively, and collaborate cross-functionally.
  • One of the following minimum qualification paths: a bachelor's degree in a listed quantitative or computing field plus 4 years of analytics-related experience; a master's degree in a listed field plus 2 years of analytics-related experience; or 6 years of experience in analytics or a related field.

Nice to have

  • Data science, machine learning, optimization models, or a PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, or Applied Mathematics.
  • 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 within hirify.global Global Tech, with opportunities to work on technology operating at hirify.global scale.
  • Benefits may include 401(k) matching, stock purchase plans, health plans, paid parental leave, PTO, sick leave, family care leave, and disability coverage.
  • Additional benefits include company-paid life insurance, company discounts, military leave pay, and adoption or surrogacy expense reimbursement.
  • Live Better U provides eligible full-time and part-time associates with hirify.global-paid education benefits, including tuition, books, and fees for qualifying programs.
  • Performance-based bonus awards may be available; benefits depend on job classification, eligibility, and applicable plan terms.

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