Data Scientist, Risk Operations

San Francisco, CA OR Seattle, WA

Full Time
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Posted 3 weeks ago

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.

In this role, you will:

  • Act as an embedded partner to the Risk Operations team, helping them to identify and answer questions with data and modeling
  • Build and improve data ETL pipeline to collect new data and refine the existing data sources
  • Build statistical and/or machine learning models to forecast Stripe’s risk review volume across review types and use the output to help develop capacity plans
  • Create simulations and/or solve optimization problems to inform the best allocation of staffing resources
  • Design, analyze, and interpret experiments

We’re looking for someone who has:

  • 3+ 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 with distributed-data tools (Scalding, Spark, Hadoop, etc)
Job tags: Economics Engineering ETL Hadoop Machine Learning Python R Research Spark SQL
Job region(s): North America
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