Dublin

Full time

Payments Data Science

Data Scientist, EMEA Payments

Dublin

Full time

Payments Data Science

Payments are the core of Stripe’s business, and the groups and teams within Payments are broadly responsible for processing and moving funds at a huge scale.  In EMEA, many payments now require authentication, and this has led to a sea change in the landscape of payments performance.  This role will initially focus on deeply understanding this interaction between authentication and payments performance, developing frameworks for communicating this knowledge to our users, and helping to measure and optimize our payments systems.

Stripe’s overall goal is to make payments dead simple for our users. Data Scientists at Stripe employ the full toolbox in order to advance our mission of building world-leading financial products and infrastructure, from experiments and causal inference, to working with our partner teams to rigorously define and forecast metrics, and developing and deploying ML models to solve customer needs. If this sounds exciting, we hope you will join us!

You will:

  • Partner closely with Product, Engineering, UX Research, Marketing, Sales, Finance and Data Science teams to shape product strategy using rigorous scientific solutions
  • Apply statistical, machine learning and econometric models on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict future performance of users or products
  • Design, analyze, and interpret the results of experiments
  • Design, implement and launch innovative data science solutions to empower data-driven decisions and products at scale
  • Drive the collection of new data and the refinement of existing data sources
  • Create analyses that tell a story focused on insights, not just data

We’re looking for someone who has:

  • 5+ years experience working with and analyzing large data sets to solve problems 
  • A PhD or MS in a quantitative field (e.g., Economics, Statistics, Engineering, Natural Sciences, Operations Research) 
  • Expert knowledge of a scientific computing language (such as R or Python) and SQL 
  • Strong knowledge of statistics, machine learning and optimization
  • Demonstrated track record of identifying, scoping and leading complex data science projects with cross-functional partners and high business impact 
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

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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