Staff Data Scientist

Stripe

N/A
On-site
Causal inference techniques
Experimentation
Forecasting
Stripe is seeking a Staff Data Scientist to join their Growth and Go-to-Market team, responsible for leveraging data science to drive business growth through analytics, experimentation, and strategic direction. The ideal candidate will have over 10 years of data science experience and strong leadership abilities, focusing on collaboration across various teams. ###

Job Summary

  • Leveraging a wide variety of tools such as experimentation, forecasting, personalization, and algorithmic recommendations to enable businesses to accelerate their journey to accept payments on Stripe, and find additional Stripe financial products that they need to grow their business.
  • Delivering comprehensive ROI analysis for Stripe’s growth marketing spend through rigorous measurement methodologies (marketing mix models, multi-touch attribution, lifetime value, long-term holdouts, etc.).
  • You will be a key strategic partner to the Growth (Product and Engineering), Marketing, Sales, and Finance & Strategy teams, developing both intelligent data products and insights, and creating end-to-end systems and measurement plans for accelerating Stripe’s overall growth engine.

Matching Summary

Match Score: 85

Stripe is seeking a Staff Data Scientist to join their Growth and Go-to-Market team, responsible for leveraging data science to drive business growth through analytics, experimentation, and strategic direction. The ideal candidate will have over 10 years of data science experience and strong leadership abilities, focusing on collaboration across various teams. ###

Skills & Requirements

Must-have

  • causal inference techniques
  • experimentation
  • forecasting
  • personalization
  • algorithmic recommendations
  • ROI analysis
  • measurement methodologies

Nice-to-have

  • Growth marketing spend
  • business strategy
  • data products and insights
  • end-to-end systems
  • culture of craftsmanship and innovation

Key Requirements

  • 10+ years of data science experience
  • B.S. / M.S. / Ph.D. in a quantitative field
  • Experience with modern causal inference techniques
  • Leading organization-wide initiatives
  • Collaborate across multiple teams
  • Mentoring and investing in development of peers

Work Rights

Not specified

Tailored Resume

Cover Letter