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5 часов назад

Senior Data Scientist (Recommendations)

160 000 - 190 000$
Формат работы
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 (Recommendations): Developing and optimizing recommendation algorithms and experimentation frameworks for a global two-sided marketplace with an accent on ranking, personalization, and causal inference. Focus on building robust evaluation systems, delivering executive-ready insights, and partnering with product and engineering teams to shape the core product trajectory.

Location: Hybrid (must be able to work in-office 3x/week in Los Angeles, Palo Alto, or San Francisco)

Salary: $160,000 - $190,000

Company

hirify.global is a global mobile application that connects millions of users through a unique matching experience.

What you will do

  • Collaborate with Product, Engineering, and ML teams to identify opportunities and frame product hypotheses.
  • Support the ML team in improving retrieval, ranking, and personalization algorithms via rigorous evaluation.
  • Design and lead experimentation strategies, including A/B testing and quasi-experimental methods.
  • Develop tooling and dashboards to monitor KPIs and improve experiment iteration speed.
  • Communicate complex analytical insights, tradeoffs, and risks to the executive team.
  • Mentor junior data scientists and contribute to team-wide model evaluation practices.

Requirements

  • 5+ years of professional experience in data science, specifically in recommender systems, ranking, or personalization.
  • Fluency in SQL and Python required.
  • Deep understanding of statistics, causal inference, and online experimentation design.
  • Strong product sense and ability to translate data findings into actionable product recommendations.
  • Must be available for hybrid work in Los Angeles, Palo Alto, or San Francisco.

Nice to have

  • Experience with modern Recs stacks like two-tower models, learning-to-rank, or feature stores.
  • Knowledge of large-scale data tools like Spark and MLOps concepts.
  • Experience with two-sided marketplace design and counterfactual evaluation.

Culture & Benefits

  • Unlimited PTO and 10 annual Wellness Days.
  • Comprehensive health, vision, and dental coverage.
  • 100% 401(k) employer match up to 10% and Employee Stock Purchase Plan.
  • 100% paid parental leave and various family-forming support benefits.
  • Annual stipend for professional development and access to 6,000+ Udemy courses.
  • Pet insurance, mental health support, and fitness membership subsidies.

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