Data Scientist

<div class="content-intro"><p><strong>About Mixpanel</strong></p> <p>Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust. Visit <a href="mixpanel.com" target="blank">mixpanel.com</a> to learn more.</p></div><p><strong>About The Role</strong></p> <p>The Analytics team does product research, builds analytical frameworks and forecasts, tells data stories, and makes recommendations so that Mixpanel can run on data. Since Mixpanel's mission is to enable our customers to be data-driven, it is only natural that Mixpanel itself is serious about being data-driven too. As a result our team's scope covers the entire business and product.</p> <p>We believe <a href="https://roundup.getdbt.com/p/analytics-is-a-profession&quot;&gt;analytics is a profession</a>. We inform the most important decisions the company makes with our analyses. We ensure everyone at Mixpanel has easy access to the data and research they need. And because Mixpanel builds an analytics product, we are a valuable input for our product teams as they build future analysis features.</p> <p><strong>Responsibilities</strong></p> <ul> <li>Answer Mixpanel's biggest business and product questions to inform our strategy and operations.</li> <li>Work with Mixpanel’s leadership to identify the highest priority strategic questions, and define a research roadmap to answer them.</li> <li>Lead quantitative research to discover: <ul> <li>The relationships between user-level behavior in Mixpanel and organization/customer-level outcomes.</li> <li>The best strategies for our product, marketing, and sales teams to drive higher user adoption, customer happiness, and revenue growth.</li> <li>The best proxy metrics for teams to use to achieve company goals.</li> </ul> </li> <li>Conduct regular metrics and research reviews with company leaders.</li> <li>Forecast metrics and attribute metrics trends to internal and external factors.</li> <li>Design the right “data interfaces” or data UX for internal users in operational teams to get easy access to the right data at the right time to best do their jobs.</li> <li>Communicate analysis insights at all levels of the organization to drive positive change.</li> </ul> <p><strong>We're Looking for Someone Who Has</strong></p> <ul> <li>Experience driving positive change with recommendations rooted in data analysis and quantitative research.</li> <li>Familiarity with measuring and driving product success.</li> <li>Deep expertise in a quantitative field (Masters degree or greater preferred).</li> <li>Ability to work with structured and unstructured data, including: <ul> <li>Advanced SQL</li> <li>Scripting ability in Python</li> </ul> </li> <li>Familiarity with cloud-based data warehouses, dbt, and collaborative data science notebooks.</li> <li>Hands-on experience building and deploying statistical and/or machine learning models.</li> <li>Experience collaborating effectively with teams and leaders in different parts of a business.</li> <li>Strong written and verbal communication</li> </ul> <p>#LI-Hybrid</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><strong>Compensation</strong></p> <p><span data-sheets-value="{&quot;1&quot;:2,&quot;2&quot;:&quot;The total target compensation (TTC) for this full-time position is $174,600 - $213,400 across the United States. This amount includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. This position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here.\n\nOur salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTC for new hire salaries for the position across all of our US l