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Manager of Data Science (Fintech)

293 000 - 515 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Manager of Data Science (Fintech): Leading the measurement, experimentation, and optimization strategy for monetization infrastructure with an accent on pricing, payments, and subscription systems. Focus on scaling causal inference, building source-of-truth revenue metrics, and optimizing global monetization flows.

Location: Hybrid in San Francisco, CA (3 days/week in office); relocation support offered.

Salary: $293,000 – $515,000 + 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

  • Define north-star revenue and monetization metrics across checkout, payments, subscriptions, and pricing.
  • Build and oversee the experimentation program for in-house checkout and subscription systems.
  • Hire, mentor, and grow a team of high-impact data scientists.
  • Lead analytics for international payment method expansion, FX strategy, and pricing localization.
  • Partner with Data Engineering to create source-of-truth datasets and operational visibility.
  • Develop elasticity frameworks and pricing models to inform long-term revenue strategy.

Requirements

  • 7+ years in data science, experimentation, or product analytics, including leadership experience.
  • Experience leading monetization, payments, checkout, or subscription analytics.
  • Deep fluency in SQL and Python, and strong causal inference instincts.
  • Track record of building experimentation platforms or scaling testing programs.
  • Experience managing or mentoring high-performing data scientists.
  • Must be based in or be able to relocate to San Francisco, CA.

Nice to have

  • Payments infrastructure or PSP experience (bank rails, disputes, fraud/risk systems).
  • Background in offline incrementality, uplift modeling, CUPED, or counterfactual evaluation.
  • Experience with global payment methods, FX strategy, and pricing optimization.
  • Experience building operational analytics systems (alerting, SLIs/SLOs, monitoring).

Culture & Benefits

  • Hybrid work model requiring 3 days per week in the office.
  • Comprehensive relocation support for eligible candidates.
  • Competitive compensation package including equity.
  • Opportunity to work on high-leverage systems directly impacting global revenue and scale.

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