Is the Data Scientist role remote?

It's hybrid — Stripe expects some on-site time in Seattle, WA, United States.

What's the salary range?

Stripe lists $193,232–$288,000 for this role.

How much experience is required?

5–7 years of relevant experience for this Data Scientist role.

Where is the role based?

Stripe is hiring for this position in Seattle, WA, United States.

What's the tech stack?

Joblaze extracted these technologies from the posting: Python, R, SQL.

What seniority level is this role?

Stripe targets senior candidates for this position.

Is this full-time or contract?

Full-time for this Data Scientist role at Stripe.

Data Scientist at Stripe

Joblaze summary

In this role, the Data Scientist at Stripe focuses on designing and maintaining APIs and large-scale systems that manage extensive financial transactions. Key skills include proficiency in SQL, Python or R, and experience in developing models that influence business outcomes. This position is ideal for candidates with a strong background in data science or quantitative modeling, particularly those with significant experience in production environments. The team emphasizes mentorship and collaboration, contributing to the overall growth of both the individual and the organization.

Joblaze insights

Listed today — first seen on Joblaze September 23, 2026. Last confirmed on Stripe's careers page September 23, 2026.
Salary band is above the typical range for Data Science roles (median ~$170,000).
Starts above 74% of 61 comparable senior data science roles in United States that list Python we track (median $170,000 across 36 companies). See Python salary trends
Python appears in 75.5% of 110 comparable senior data science roles in United States; R appears in 22.7% of 110 comparable senior data science roles in United States.

Quick facts

Is the Data Scientist role remote?: It's hybrid — Stripe expects some on-site time in Seattle, WA, United States.
What's the salary range?: Stripe lists $193,232–$288,000 for this role.
How much experience is required?: 5–7 years of relevant experience for this Data Scientist role.
Where is the role based?: Stripe is hiring for this position in Seattle, WA, United States.
What's the tech stack?: Joblaze extracted these technologies from the posting: Python, R, SQL.
What seniority level is this role?: Stripe targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Data Scientist role at Stripe.

From the original posting

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

Data Scientist