Data Scientist, APAC




Payment Service Providers / Data + Analytics

Jun 4

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About The Team

Stripe is the best software platform for running an internet business. We handle hundreds of billions of dollars every year for millions of businesses around the world. Data scientists work closely with the Global APAC team to help understand our users and build better products. We rely heavily on data to measure and forecast our success, ensure high-quality decisions, and point towards future opportunities.

What you’ll do

We're looking for a senior data scientist who can work on a diverse set of problems like determining the core metrics and targets for our products and countries, building predictive models for estimating risk, as well as analyzing product adoption & user onboarding patterns. If you are excited about deriving insights from data and motivated by having an impact on the business, we want to hear from you.


  • Partner with the Global APAC team and have the opportunity to work closely with APAC leadership, product and engineering teams to demonstrate thought leadership and develop the data science roadmap for the region
  • Apply statistical 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 statistical experiments
  • Drive the collection of new data and the refinement of existing data sources

Who you are

We’re looking for a talented data scientist, if you are data curious, excited about deriving insights from data, and motivated by having an impact on the business, we want to hear from you.

Minimum Requirements

  • 5+ 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
  • Strong knowledge of machine learning and statistical experimentation
  • Prior experience with distributed tools (Scalding, Spark, Hadoop, etc.)
  • Strong knowledge and hands-on experience on machine learning, or statistics and experimentation

Preferred Qualifications

  • Experience in working with multiple cross-functional teams to deliver results
  • The ability to communicate results clearly
  • Worked well under pressure

Apply Back to job

You must be logged in to to apply to this job.


Your application has been successfully submitted.

Please fix the errors below and resubmit.

Something went wrong. Please try again later or contact us.

Personal Information


View resume



Payments infrastructure for the internet.