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

The Data Science team builds data and intelligence into our product,
sales, and operations. This spans across building data foundations and
applying statistical techniques and machine learning to measure and
optimize our product, build data-driven products, and conduct in-depth
analysis to inform strategic decisions.

What you’ll do

We’re looking for people with a strong background in data engineering
and analytics to help us scale while maintaining correct and complete
data. You’ll be working with a variety of internal teams -- Engineering,
Business -- to help them solve their data needs. Your work will provide
teams with visibility into how Stripe’s products are being used and how
we can better serve our customers.

Responsibilities

• You’ll be working with a variety of internal teams -- Engineering,
  Business -- to help them solve their data needs
  
• Your work will provide teams with visibility into how Stripe’s
  products are being used and how we can better serve our customers
  
• Identify data needs for business and product teams, understand their
  specific requirements for metrics and analysis, and build efficient
  and scalable data pipelines to enable data-driven decisions across
  Stripe
  
• Design, develop, and own data pipelines and models that power internal
  analytics for product and business teams
  
• Help the Data Science team apply and generalize statistical and
  econometric models on large datasets
  
• Drive the collection of new data and the refinement of existing data
  sources, develop relationships with production engineering teams to
  manage our data structures as the Stripe product evolves
  
• Develop strong subject matter expertise and manage the SLAs for those
  data pipelines
  

Who you are

If you are data curious, excited about designing data pipelines, and
motivated by having an impact on the business, we want to hear from you.

Minimum requirements

• Have a strong engineering background and are interested in data
  
• 5+ years of experience with writing and debugging data pipelines using
  a distributed data framework (Hadoop/Spark/Pig etc…)
  
• Have an inquisitive nature in diving into data inconsistencies to
  pinpoint issues
  
• Strong coding skills in Scala, Python, Java or another language for
  building performance data pipelines.
  
• Strong understanding and practical experience with systems such as
  Hadoop, Spark, Presto, Iceberg, and Airflow
  
• The ability to communicate cross-functionally with solid stakeholder
  management to derive requirements and architect scalable solutions.