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4 дня назад

Senior Data Scientist (AI)

150 000 - 250 000$
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
Senior Data Scientist (AI) (SQL/Python, experimentation, applied ML): Building data science and machine learning systems for growth, core recruiting product flows, and recruiter and customer incentives with an accent on causal inference, experimentation, and production modeling. Focus on defining product metrics, improving marketplace matching and workflow speed, evaluating pricing and payout incentives, and deploying monitored models that improve outcomes at scale.

Location: San Francisco, United States

Salary: $150,000–$250,000 per year, plus equity

Company

hirify.global is an AI recruiting marketplace connecting companies with specialized recruiters and AI agents to make hiring faster, more reliable, and scalable.

What you will do

  • Define and measure growth funnels and run experiments to improve acquisition, activation, retention, and revenue.
  • Improve matching quality and workflow speed across sourcing, outreach, CRM, and placements through metrics, analysis, and machine learning.
  • Design and evaluate pricing and payout incentives, forecast their impact, and build safeguards against gaming and adverse outcomes.
  • Take data science work end-to-end from problem framing through deployment and measurement.
  • Partner with engineering teams to ship models, metrics, and data products.
  • Help establish hirify.global’s foundations for experimentation, measurement, and applied machine learning.

Requirements

  • 4+ years of experience in data science, applied machine learning, analytics, or a closely related role.
  • Strong experience with experimentation and/or causal inference in product settings.
  • Strong SQL skills and proficiency in Python or another general-purpose programming language.
  • Experience building, evaluating, iterating, and monitoring production models.
  • Experience partnering with engineering teams to ship models, metrics, or data products.
  • Degree in data science, computer science, statistics, mathematics, or a related field.

Nice to have

  • Experience with data integration and pipeline development.
  • Experience in marketplaces, growth, incentives, or pricing.
  • Experience with AI-assisted or agentic workflows.

Culture & Benefits

  • High-ownership role with responsibility for taking ambiguous problems from 0 to 1.
  • Opportunity to work at the intersection of data, product, AI, and business.
  • Equity offered as part of the compensation package.
  • Work focused on improving outcomes across a high-velocity marketplace.

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