Data Scientist
- Salary
- $193,232 - $288,000 /yr
- Level
- Senior
- Work type
- Not stated
- Visa
- Not stated
Open. First seen 2 October 2026.
The team: Global Operations HIRES STEADILY
This role is one of 15 open in Global Operations. 4 were posted in the last 30 days and the oldest in August: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Java (9 of 15), Python (9 of 15), Ruby (8 of 15), AWS (6 of 15), Golang (6 of 15), SQL (5 of 15), Azure (4 of 15)
OTHER ROLES ON THIS TEAM
- Software Engineer posted Oct 9
- Software Engineer posted Oct 2
- Senior Software Engineer, Backend posted Sep 24
- Software Engineer, Backend posted Sep 14
- Software Engineer, Payins Card Networks posted Sep 14
- Software Engineer, High Availability and Disaster Recovery posted Sep 14
- Software Engineer, Online Database Infrastructure posted Sep 11
- Senior Software Engineer, Product Velocity posted Sep 11
- Senior Software Engineer, Docs Product posted Sep 3
- Senior Software Engineer posted Sep 2
- Product Designer, Growth posted Aug 28
- Business Systems Architect (Tax) posted Aug 20
- Software Engineer posted Aug 17
- Technical Program Manager, Infrastructure posted Aug 12
From the team and dates on Stripe's own job board.
About the role
Who we are
About Stripe
Stripe, LLC. 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.
What you’ll do
Responsibilities
- Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests;
- Design the next generation of Stripe products to meet the high growth needs of our company and customers;
- Analyze product requirements, user needs and feedback and translate them into technical specifications and determine the feasibility of design, taking into account cost and time constraints;
- Review API launches and library shapes for other teams to ensure that backwards and forward compatibility, coherent patterns, and extensibility meet our quality standards;
- Act as the team’s representative during technical meetings and understand how their systems interact with the broader landscape within the company;
- Mentor early-career engineers to help them grow and spin up into independent engineers; and
- Construct core engineering tenets and design principles for their team’s projects.
Who you are
Minimum requirements
Master’s degree or foreign equivalent in Statistics, Data Analytics, Engineering or a related field, plus 5 years of related work experience in data science or quantitative modeling.
In the alternative, the employer will accept a Bachelor’s degree or foreign equivalent in Statistics, Data Analytics, Engineering or a related field, plus 7 years of related work experience in data science or quantitative modeling, of which at least 5 years must be post-bachelor’s progressive related work experience.
Must also have 4 years’ experience in each of the following:
- SQL;
- Programming languages including Python or R;
- Developing models and tuning thresholds to drive business outcomes and deployment of the same model in production;
- Translating complex data analysis into actionable business outcomes;
- Writing or contributing to product strategy, roadmap, or technical design documents;
Must have 3 years of experience in:
- Designing and analyzing production experiments to drive strategic and technical outcomes.
Salary: $193,232 - 288,000/yr
This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.
40 hrs/week
50% Telecommuting permitted
Multiple Positions Available.
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. WA53
#LI-DNI
Posting history
Reposted once since 8 May 2026: a posting for this role in Seattle, WA was taken down and the role was posted again.
- 2 October 2026 – open (this posting)
- 8 May 2026 – closed 25 June 2026
Salary context
70 other open postings titled Data Scientist state a salary: median USD 133,560 to USD 199,500 a year.
See Data Scientist salaries in the United States →
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