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Data Scientist

Stripe

Seattle, WA
Full-time
Posted 2 days ago
$193,232 - 288,000/yr (in the job description)
United States

Job Description

Full description from the employer, as published by Greenhouse.

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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Job Overview

Company

Stripe

Location

Seattle, WA

Job Type

Full-time

Salary

$193,232 - 288,000/yr

About This Listing

This job comes from Greenhouse and is shown as published there. Dev Global Jobs has not checked the employer. Apply only on the official page and never pay a fee to apply.

Source: Greenhouse
Updated from source

At a glance

Salary (as listed)$193,232 - 288,000/yr
Experience5 years or more (a plus)
LocationSeattle, WA
Against the national average wageabout 277% of USD 86,977 (OECD, 2025)
Job typeFull-time
Date posted22 Oct 2026
Open jobs in this city135 in Seattle
SourceGreenhouse; apply on stripe.com

What this job asks for

  • Experience: "...Analytics, Engineering or a related field, plus 5 years of related work experience in data science or quantitative modeling." (a plus)

About Stripe

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