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. More than 80% of American adults bought something on Stripe in the last year.
With all this data, we’re looking for a talented data scientist to join the Data Science team to help us better understand our users, build better products, and optimize our operation. If you are data curious, excited about deriving insights from data, and motivated by having impact on the business, we want to hear from you.
Act as an embedded partner to the Risk team, helping them to identify and answer questions with data and modeling
Create analyses that tell a story focused on insights, not just data
Build statistical and/or machine learning models to understand the riskiness of our customers
Design, analyze, and interpret experiments
Build and improve data ETL pipeline to collect new data and refine the existing data sources
We’re looking for someone who has:
5+ years experience working with and analyzing large data sets to solve problems and drive impact
A PhD or MS in a quantitative field (e.g., Operations Research, Economics, Statistics, Sciences, Engineering)
Expert knowledge of a scientific computing language (such as R or Python) and SQL
Strong knowledge of statistics and experimentation
Experience working with multiple cross-functional teams to deliver results
The ability to communicate results clearly
Nice to haves:
Prior experience in Trust & Safety, Risk or a related field
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About this role
June 4th, 2021
Job posted on
April 5th, 2021
Stripe is hiring for this role in the following timezones:
About the companyStripe is a software platform for starting and running internet businesses. Millions of businesses rely on Stripe’s software tools to accept payments, expand globally, and manage their businesses onlin...
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