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Data Scientist, Identity 508 views

Before Stripe, every growing internet platform had a payments team. Today, every growing internet platform has an Identity team. Identity verification is a core piece of economic infrastructure for online businesses. Great Identity solutions can help platforms automate the process of satisfying regulatory obligations while keeping their users safe. Join Stripe to build a service that empowers platforms to take the burden and cost out of identity verifications and scale globally with ease.

Data science works closely with the Identity team to help understand their users, build better products and optimize their systems. They’re looking for a talented data scientist to find creative and advanced solutions for a diverse set of problems. If you are data curious, excited about deriving data insights, and motivated by having an impact on the business, they want to hear from you.

In This Role, You Will

    • Act as an embedded partner to the Identity team, helping them to identify and answer questions with data and modeling
    • Work with large amounts of data to provide concrete conclusions and actionable insights
    • Leverage Stripe’s large data network to improve Identity’s performance and product experience
    • Build statistical and/or machine learning models to drive business impact
    • Build and improve data ETL pipeline to collect new data and refine the existing data sources

They’re Looking For Someone Who Has

    • 5+ years experience working with and analyzing large data sets to solve problems and drive impact
    • A Ph.D. 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

  • Experience applying Graph Analytics to large datasets
  • Prior experience with data-distributed tools (Spark, Hadoop, Scalding, etc)

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