Data Scientist

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

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.

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;
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