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
Our mission is to deliver insightful analyses and durable data products
to anticipate and inform the right decisions at the right time about
Stripe's cloud, security and tech enablement infrastructures.
You will work with our Security Analytics and Detection team, which is
committed to promoting data security and protecting Stripe from internal
and external threats to its assets and infrastructure. We’re looking
for talented candidates who can leverage data science to build out
security capabilities with an emphasis on application security and
vulnerability management. Your work will be critical to reducing risks
and promoting trust and integrity within Stripe.
We’re looking for a data scientist with security experience who is
excited about applying their analytical skills to develop methods,
systems and processes to protect Stripe from external threats and
vulnerabilities. If you are naturally data curious, enjoy deriving
insights from data, and motivated by the opportunity to build
engineering solutions from the ground up that significantly impact the
business, we want to hear from you!
The annual US base salary range for this role is $199,055 - $281,019. 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