Staff Data Scientist

Stripe

N/A
On-site
Causal inference / experimentation
Forecasting
Personalization
Stripe is seeking a Staff Data Scientist to join its Growth and Go-to-Market team, where the focus is on leveraging data science to enhance business growth and marketing strategies. The ideal candidate will have extensive experience in data science, particularly in causal inference and collaboration across 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 its Growth and Go-to-Market team, where the focus is on leveraging data science to enhance business growth and marketing strategies. The ideal candidate will have extensive experience in data science, particularly in causal inference and collaboration across teams.

Skills & Requirements

Must-have

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

Nice-to-have

  • growth marketing
  • sales automation
  • machine learning frameworks
  • observability frameworks

Key Requirements

  • 10+ years of data science experience
  • B.S. / M.S. / Ph.D. in a quantitative field
  • modern causal inference techniques
  • leading organization-wide initiatives
  • mentoring and investing in development of peers

Work Rights

Not specified

Tailored Resume

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