Data Scientist
Stripe Open · verified Oct 24, 2026 At a glance
Mid-level Data Science role at Stripe. Seattle · $193,232–$288,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain APIs, services, and large-scale systems that process money movement reliably and efficiently
- Shape new Stripe products around the growth needs of customers and the company
- Turn product requirements and user feedback into technical plans that account for feasibility, cost, and timing
- Review other teams’ API launches and libraries for compatibility, consistent patterns, and room to extend
- Represent your team in technical discussions, mentor newer engineers, and set project design principles
What you bring
- A relevant master’s degree plus five years in data science or quantitative modeling, or a relevant bachelor’s degree plus seven years
- At least four years using SQL and Python or R, and building, tuning, and deploying models to improve business outcomes
- At least four years turning complex analysis into business actions and contributing to product strategy, roadmaps, or technical design documents
- Three years designing and analyzing production experiments for strategic and technical outcomes
Who this fits
This role suits someone with substantial data science or quantitative modeling experience who can contribute to product and technical decisions. The listed work also includes representing a team in technical meetings and mentoring early-career engineers. The position is based in Seattle, with fifty percent telecommuting permitted.
From the employer
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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