Dublin or London

Full time

Data Science

Data Scientist, Stripe Tax

Dublin or London

Full time

Data Science

Stripe’s core mission is to reduce the barriers faced by large and emerging businesses around the world by abstracting away the complexities of payments. The Global team is responsible for building the payment products & infrastructure needed to launch new markets and process payments successfully around the world.

Stripe builds economic infrastructure to grow the GDP of the internet. In the same way we are building the payment infrastructure of the internet, we are now also building the tax infrastructure for the internet. Our goal is to remove the burden of tax compliance for online businesses and enable Stripe to expand and grow in new markets and across new segments. 

This is a unique opportunity to shape a foundational new product for Stripe that will be used by the next generation of ambitious online businesses. We’re looking for a data scientist to partner with the Stripe Tax team to help us understand product adoption, test impact of various product decisions and build models to improve accuracy.

You will:

  • Be the first data science partner to the Stripe Tax team and have the opportunity to work closely with product and business teams to develop the data science roadmap, identify important questions and answer them with data
  • Apply statistical models and natural language processing to infer accurate tax categories
  • Design, analyze, and interpret the results of statistical experiments
  • Drive the collection of new data and the refinement of existing data sources We’re looking for someone who has:
  • 4+ years experience working with and analyzing large data sets to solve problems
  • A PhD or MS in a quantitative field (e.g., Statistics, Sciences, Economics, Engineering, CS)
  • Expert knowledge of Python and SQL
  • Prior experience with distributed tools (Scalding, Spark, Hadoop, etc.)
  • Strong knowledge of machine learning and statistical experimentation
  • Experience working with multiple cross-functional teams to deliver results
  • The ability to communicate results clearly and a focus on driving impact

We’re looking for someone who has:

  • 4+ years experience working with and analyzing large data sets to solve problems
  • A PhD or MS in a quantitative field (e.g., Statistics, Sciences, Economics, Engineering, CS)
  • Expert knowledge of Python and SQL
  • Prior experience with distributed tools (Scalding, Spark, Hadoop, etc.)
  • Strong knowledge of machine learning and statistical experimentation
  • Experience working with multiple cross-functional teams to deliver results
  • The ability to communicate results clearly and a focus on driving impact

Please find our EU applicant personal information notice here

At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.

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