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Data Scientist (AI)

255 000 - 405 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US

Описание вакансии

Текст:
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TL;DR

Data Scientist (AI): Design, implement, and own critical predictive and causal inference models, reporting, and analysis to support strategic finance decisions at hirify.global. Focus on building scalable data products, customer segmentation frameworks, and dashboards for leadership to enable high-impact decision-making.

Location: Hybrid in San Francisco HQ with relocation assistance

Salary: $255K – $405K + Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

  • Become an expert in hirify.global’s data and systems, partnering with Data Engineering and Finance teams.
  • Scale causal inference models to measure impact on user growth and financial outcomes.
  • Architect customer segmentation frameworks to unlock tailored growth strategies.
  • Automate reporting and analysis by building data products or agentic solutions.
  • Support product pricing and business decisions with ad hoc analysis.
  • Design and deliver dashboards for leadership to track key performance indicators.

Requirements

  • Location: Must be based in or relocate to San Francisco, USA
  • MS or PhD in a quantitative field with 7+ years experience in quantitative roles.
  • Proficiency in Python, SQL, Tableau, and strong analytical skills with large data sets.
  • Ability to independently lead projects end-to-end and communicate insights effectively.
  • Experience with predictive modeling and causal inference.

Nice to have

  • Experience at hyper-growth companies or research organizations.
  • Passion for technology and artificial intelligence.
  • Strong storytelling and communication skills.

Culture & Benefits

  • Hybrid work model with three days in office per week.
  • Relocation assistance for new employees.
  • Equal opportunity employer with commitment to diversity and inclusion.
  • Focus on safety and ethical AI deployment.