Senior 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>Build statistical models, define and analyze product and operational metrics, explore experimental design, and construct exploratory analysis with internal data.&nbsp;</li> <li>Work closely with product and business teams to identify important questions and answer them with data.&nbsp;</li> <li>Collaborate with other data scientists, engineers and operations to formulate innovative solutions to experiment and implement advanced data mining techniques.&nbsp;</li> <li>Conduct exploratory analysis on internal data to understand user behavior to inform product development.&nbsp;</li> <li>Drive the collection of new data and the refinement of existing data sources.&nbsp;</li> <li>Apply statistical and machine learning models on large datasets to measure results and outcomes, and identify causal impact and attribution.&nbsp;</li> <li>Predict future performance of users or products.&nbsp;</li> <li>Define, measure, and monitor key outcome metrics for teams and support Stripe’s business.&nbsp;</li> <li>Communicate complex concepts and the results of metrics and analyses in a clear and effective manner through creative visualization.&nbsp;</li> <li>Communicate findings broadly and interact with other teams including product managers, software engineers, marketing, and business development.</li> </ul> <h2><strong>Who you are</strong></h2> <h3><strong>Minimum requirements</strong></h3> <p>Must have a Master's degree or foreign equivalent in Operations Research, Statistics, Industrial Engineering, Business Analytics, Mathematics or a related field, plus three (3) years of experience in Data Science or a related occupation.</p> <p>Must have three (3) years in each of the following:</p> <ul> <li>Statistical and machine learning methods;</li> <li>Numerical optimization &amp; integer programming;</li> <li>SQL;</li> <li>Python;</li> <li>Optimization; and</li> <li>Forecasting and machine learning domain.</li> </ul> <p>Salary: $192,000.00 - $288,000.00/yr&nbsp;</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>Up to 10% domestic travel required.</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>WA34</strong></p> <h3><strong>&nbsp;#LI-DNI</strong></h3>