below marketmost similar roles pay hereabove market
This role pays more than
94%
of similar roles. Most pay
$126,800–$204,050
— the blue band above.
At the midpoint, this role pays about
$241k
versus about
$165k
for comparable roles.
Based on 240 similar postings.
Employer
About Stripe
Stripe is a financial infrastructure platform for internet businesses, providing payment processing, billing, fraud prevention, and banking-as-a-service APIs to businesses of all sizes globally. Industry: Payments Infrastructure & Financial Technology
Stripe currently has
131 open roles
on FindRole.
Listed pay typically runs
$190,400–$285,600
across 128 roles with salary data.
The Data Scientist will join the team to scope, design, build, and maintain APIs and large-scale systems that reliably handle billions of money movement requests. This role involves designing next-generation products to meet high growth needs by analyzing user feedback and translating requirements into technical specifications. Key responsibilities include reviewing API launches for compatibility, mentoring early-career engineers, and constructing core engineering tenets. The successful candidate must utilize SQL, Python, or R to develop and tune models for production deployment. They will translate complex data analysis into actionable business outcomes and design production experiments to drive strategic results. The work focuses on the technical challenges of financial infrastructure, specifically ensuring that systems are extensible, cost-effective, and capable of managing high-volume global money movements within a complex technical landscape.
What does a Data Scientist earn in Washington?
Median $212000 from 33 postings across 16 companies.
Scope, design, build, and maintain APIs and large-scale systems for billions of money movement requests.
Design next-generation products to meet high growth needs for the company and customers.
Translate product requirements and user feedback into technical specifications while considering cost and time constraints.
Review API launches and library shapes to ensure compatibility, coherent patterns, and extensibility.
Represent the team in technical meetings to manage system interactions across the broader company landscape.
Mentor early-career engineers to help them grow into independent engineers.
Construct core engineering tenets and design principles for team projects.
What we're looking for
Master’s degree in Statistics, Data Analytics, Engineering, or a related field, plus 5 years of related work experience in data science or quantitative modeling.
Bachelor’s degree in Statistics, Data Analytics, Engineering, or a related field, plus 7 years of related work experience in data science or quantitative modeling.
At least 5 years of post-bachelor’s progressive related work experience.
4 years of experience in SQL.
4 years of experience in programming languages including Python or R.
4 years of experience developing models, tuning thresholds, and deploying models in production.
4 years of experience translating complex data analysis into actionable business outcomes.
4 years of experience writing or contributing to product strategy, roadmap, or technical design documents.
3 years of experience designing and analyzing production experiments to drive strategic and technical outcomes.
Python
R
SQL
SAS
MATLAB
Machine Learning
Artificial Intelligence
Natural Language Processing
Spark
Databricks
ElasticSearch
NiFi
Palantir Foundry
Tableau
Power BI
Qlik
Plotly
Seaborn
ggplot2
ADVANA
Maven Smart System