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1 час назад

Senior Data Scientist (Search)

175 000 - 234 000$
Формат работы
remote (только USA)/hybrid
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

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TL;DR

Senior Data Scientist (Search/ML): Developing algorithms for query understanding, content retrieval, and ranking to improve how neighbors find local information with an accent on semantic retrieval and LLM integration. Focus on optimizing search relevance, designing complex A/B tests, and transitioning prototypes into production-ready ML solutions.

Location: US Remote. Hybrid options available for candidates near offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London.

Salary: $175,000 - $234,000 per year

Company

hirify.global is the essential neighborhood network connecting people, public agencies, and businesses across more than 350,000 neighborhoods in 11 countries.

What you will do

  • Design and develop algorithms to optimize Search relevance, retrieval, and ranking for both users and businesses.
  • Own the end-to-end search experience, including query understanding and semantic retrieval using LLMs.
  • Design and analyze complex product A/B tests, monitoring features from development through post-release.
  • Build scalable metrics and dashboards to track Search performance and inform strategic decisions.
  • Partner with ML, Engineering, Product, and Design teams to turn user intent into outcomes.
  • Analyze messy data to find insights that reframe problems and prototype iterative solutions.

Requirements

  • Must be based in the US.
  • 5+ years of relevant Data Science experience.
  • Direct experience with Search, recommendations, or information retrieval products (ranking, relevance evaluation).
  • Expert knowledge of SQL and Python, including numpy, pandas, and scikit-learn.
  • Strong proficiency in experimentation and designing complex A/B tests.
  • Ability to synthesize and explain complex technical problems to executives and cross-functional stakeholders.

Nice to have

  • Experience with ranking algorithms for unstructured content.
  • Experience designing, deploying, or monitoring ML production models.
  • Basic understanding of building RAG systems.

Culture & Benefits

  • AI-first environment where the use of tools like Claude, Gemini, and ChatGPT is encouraged.
  • Competitive total rewards package including meaningful equity grants with quarterly vesting.
  • Comprehensive health plans, including a 100% covered employee-only option.
  • OneMedical membership for concierge care.
  • Inclusive work environment with a flexible hybrid employment model.

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