Data Scientist

<h2><strong>Who we are </strong></h2> <h3><strong>About Stripe</strong></h3> <p><span style="font-weight: 400;">Stripe 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.</span></p> <h2><strong>What you’ll do</strong></h2> <h3><strong>Responsibilities</strong></h3> <ul> <li>Apply statistical, time series forecasting and machine learning models on large datasets to predict future performance of users or products.</li> <li>Partner closely with Sales and Data Science teams to identify important questions and answer them with data.&nbsp;</li> <li>Design, implement and launch data science solutions using Python and R to empower data-driven decisions and products at scale.&nbsp;</li> <li>Create analyses that generate insights for business teams.</li> <li>Design, analyze, and interpret the results of experiments.&nbsp;</li> <li>Build ETL data transformation pipelines in SQL.</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 Computer Science, Business Analytics, Statistics, or a related quantitative field, plus 3 years of experience in a Data Scientist or related occupation.&nbsp;</p> <ul> <li>3 years of experience building ETL data transformation pipelines in SQL;</li> <li>3 years of experience working closely with product and business teams to identify important questions and answer them with data;</li> <li>2 years of experience productionalizing and implementing machine learning models;</li> <li>2 years of experience productionalizing and implementing software products;</li> <li>2 years of experience designing, analyzing, and interpreting the results of experiments;</li> <li>2 years of experience designing, and analyzing software architectures;</li> <li>2 years of experience designing, implementing, and launching data science solutions;</li> <li>2 years of experience designing, implementing, and launching software solutions; and</li> <li>2 years of experience applying statistical and machine learning models on large datasets to predict future performance of users or products.</li> </ul> <p><strong>Salary </strong>: $192,000 - $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.</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>WA04 <span style="color: rgb(255, 255, 255);">#LI-DNI</span></strong></p>