Data Scientist

Description

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.

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.

Requirements

• 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;
• Designing and analyzing production experiments to drive strategic and technical outcomes.

Conditions

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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