Data Scientist

Stripe•Seattle, WA

13h•$193,232 - $288,000•Hybrid

About The Position

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.

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.
4 years’ experience in SQL
4 years’ experience in Programming languages including Python or R
4 years’ experience in Developing models and tuning thresholds to drive business outcomes and deployment of the same model in production
4 years’ experience in Translating complex data analysis into actionable business outcomes
4 years’ experience in Writing or contributing to product strategy, roadmap, or technical design documents
3 years of experience in Designing and analyzing production experiments to drive strategic and technical outcomes

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
Construct core engineering tenets and design principles for their team’s projects