About this role
Stripe builds a financial infrastructure platform that enables millions of companies to accept payments and grow their revenue. The engineering team focuses on designing large-scale systems and APIs that reliably handle billions of money movement requests while supporting the company's rapid growth.
In this position, the data scientist will scope and build scalable services, analyze product requirements, and translate complex data analysis into actionable business outcomes. The person in this role will also review API launches, mentor early-career engineers, and design production experiments to drive strategic decisions. Candidates with a strong quantitative background who enjoy building robust financial systems will thrive in this environment.
What you will do
- Scope, design, build, and maintain large-scale systems and APIs that process billions of financial transactions reliably.
- Analyze product requirements and user feedback to determine technical feasibility within cost and time constraints.
- Review API designs and library shapes across teams to ensure backward and forward compatibility and high quality standards.
- Represent the team in technical meetings and understand how internal systems interact with the broader company infrastructure.
- Mentor junior engineers to help them develop into independent and capable contributors.
- Construct core engineering tenets and design principles for team projects.
- Design and analyze production experiments to guide technical and strategic outcomes.
What you need
- Master’s degree in Statistics, Data Analytics, Engineering, or a related field with 5 years of related work experience, or a Bachelor’s degree with 7 years of related work experience including 5 years of progressive post-bachelor experience.
- Minimum of 4 years of experience utilizing SQL for data analysis and modeling.
- Minimum of 4 years of experience using programming languages such as Python or R.
- Minimum of 4 years of experience developing models, tuning thresholds, and deploying those models into production environments.
- Minimum of 4 years of experience translating complex data analysis into actionable business outcomes.
- Minimum of 4 years of experience writing or contributing to product strategy, roadmaps, or technical design documents.
- Minimum of 3 years of experience designing and analyzing production experiments to drive strategic and technical outcomes.
Benefits
- Equity, company bonus or sales commissions/bonuses
- 401(k) plan
- Medical, dental, and vision benefits
- Wellness stipends
Skills and tech stack
Questions candidates ask
What is the remote work policy for this position?
50% telecommuting is permitted for this role. The position is based in Seattle, WA.
What is the salary range for this data scientist role?
The base salary range for the role is $193,232 to $288,000 per year. Any sales commissions or bonus targets would be in addition to this base salary.
What programming languages and technical skills are required?
Candidates must have at least 4 years of experience with SQL, programming languages including Python or R, and deploying models into production. Additional requirements include experience with experiment design and technical documentation.
What additional benefits are offered?
Additional benefits for this role may include equity, company bonuses, a 401(k) plan, medical, dental, and vision benefits, and wellness stipends.