Synced from Greenhouse · Sep 22

Data Scientist

StripeSeattle, WAPosted Sep 22, 2026
Data ScientistSenior
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Mirrored from Stripe's own Greenhouse careers system · refreshed hourly

$193k–$288k
Compensation
670
Other open Stripe roles
Sep 22
Posted
Greenhouse
Applicant system
Job descriptionReq 8222149

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

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View original posting on Greenhouse

What applying to Stripe usually looks like

Based on publicly available information, candidates applying through greenhouse can typically expect an online application form requesting resume and basic background details, followed by an automated confirmation email. For Stripe, given the breadth of roles posted, initial screening commonly involves a recruiter phone call to review experience and role fit, followed by additional evaluation stages that may include technical or functional assessments, take-home exercises, and interviews with hiring managers or team members. Greenhouse-based processes generally allow candidates to track application status through a candidate portal, though response times vary and are not guaranteed. Communication is often handled via email, and candidates may be asked to complete structured interview kits designed for consistency. Overall, applicants can generally expect a multi-stage evaluation process, though exact steps and duration depend on the specific role and team involved.

Based on publicly available information. LandEarly does not verify interview process details.

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