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
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.
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.
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.
The annual US base salary range for this role is $157,100 - $212,500. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
Remote in United States
Data & Data Science