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4 часа назад

Senior Manager Data Science, Revenue & Growth

268 000 - 315 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
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 Manager Data Science, Revenue & Growth (Data Science/ML): Owns the quantitative backbone of hirify.global's revenue and financial data, and accelerates growth on our self-serve SMB business with an accent on data science and experimentation. Focus on building and running the team that nails and captures it.

Location: Must be based in San Francisco; comfortable with a hybrid in-office schedule (3 days/week)

Salary: $268,000 - $315,000 USD

Company

hirify.global is building the data platform to power safe and fair decisions.

What you will do

  • Build and run a high-performing team of data scientists and analysts across Revenue and Growth.
  • Drive the roadmap for financial data science: revenue forecasting models, cost and billing data products, reconciliation pipelines, and Exec dashboards.
  • Lead the PLG data science push: experimentation, activation, and conversion analytics, package and pricing optimization.
  • Partner with Finance and Growth leadership to translate complex modeling work into clear recommendations.
  • Automate analytical pipelines and build agentic workflows for recurring analyses using AI.
  • Set and enforce standards for modeling rigor, data quality, pipeline reliability, and production-readiness.

Requirements

  • A Bachelor's or Master's degree in a quantitative field.
  • 10+ years in data science, analytics, or quantitative roles.
  • 3+ years of direct people management experience.
  • Deep SQL and Python fluency; hands-on experience with modern ELT/data transformation tools.
  • Comfort with and enthusiasm for AI-assisted workflows.
  • Track record of building and executing a multi-quarter roadmap for a data science function.
  • Strong executive communication skills.
  • Experience applying data science to revenue, growth, or financial problems in B2B SaaS or a high-growth startup environment.
  • Based in San Francisco; comfortable with a hybrid in-office schedule (3 days/week)
  • An A-player mindset with a strong bias for action.

Culture & Benefits

  • A fast-paced, low-bureaucracy environment.
  • Direct exposure to executive and C-level decision-making.
  • A leadership seat on the Data & ML team shaping hirify.global's AI strategy.
  • Learning and development allowance.
  • Competitive cash and equity compensation and opportunity for advancement.
  • Flexible PTO policy.

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