Data Scientist

Stripe is hiring a Data Scientist in Seattle, United States. It pays $193k-$288k a year and Level rates it ; you can apply on Stripe.

Level's read on this job

Level rates this data scientist role Little AI ●○○○: aI is not part of the work.
The listed pay starts 16% above the typical data scientist posting on Level.
Tools and skills the posting cites include Python, R and SQL.
Level classifies it as a senior role.
Level lists 771 other open roles at Stripe.

AI in this role

Data Scientist at Stripe designing systems, building APIs, and developing production models to drive business outcomes.

PythonRSQL

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

How we rate this

Data Scientist at Stripe rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Scientist is an open job at Stripe.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $193k-$288k a year.
The role is based in Seattle, WA.
The job was posted on September 22, 2026.
Seniority: senior.
Applications are handled by Stripe. Apply on Stripe

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

PythonRSQL

Also common in data scientist jobs at this level

Machine learning AWS Spark LLM Deep learning dbt

Pay

This job starts at: $193k
Typical data scientist job: $166k

This posting starts 16% above the typical data scientist job. See data scientist jobs

Questions you could be asked

What's a project where you used Python hands-on?
Walk me through how you've used R in your day-to-day work.
What are the limits of SQL that you've run into, and how did you work around them?

Adapt your resume

List these exact terms on your resume: Python, R, and SQL. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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