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