Data Scientist

<h2><strong>Who we are</strong></h2> <h3><strong>About Stripe</strong></h3> <p>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.</p> <h2><strong>What you’ll do</strong></h2> <h3><strong>Responsibilities</strong></h3> <ul> <li>Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests;</li> <li>Design the next generation of Stripe products to meet the high growth needs of our company and customers;</li> <li>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;</li> <li>Review API launches and library shapes for other teams to ensure that backwards and forward compatibility, coherent patterns, and extensibility meet our quality standards;</li> <li>Act as the team’s representative during technical meetings and understand how their systems interact with the broader landscape within the company;</li> <li>Mentor early-career engineers to help them grow and spin up into independent engineers; and</li> <li>Construct core engineering tenets and design principles for their team’s projects.</li> </ul> <h2><strong>Who you are</strong></h2> <h3><strong>Minimum requirements</strong></h3> <p>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.&nbsp;</p> <p>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.</p> <p>Must also have 4 years’ experience in each of the following:</p> <ul> <li>SQL;</li> <li>Programming languages including Python or R;</li> <li>Developing models and tuning thresholds to drive business outcomes and deployment of the same model in production;</li> <li>Translating complex data analysis into actionable business outcomes;</li> <li>Writing or contributing to product strategy, roadmap, or technical design documents;</li> </ul> <p>Must have 3 years of experience in:</p> <ul> <li>Designing and analyzing production experiments to drive strategic and technical outcomes.</li> </ul> <p>Salary: $193,232 - 288,000/yr</p> <p>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.</p> <p>40 hrs/week</p> <p>50% Telecommuting permitted</p> <p>Multiple Positions Available.&nbsp;</p> <p>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. <strong>WA53</strong></p> <h3><strong>#LI-DNI</strong></h3>