Data Scientist at Mixpanel — Remote North America

About Mixpanel

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 mixpanel.com to learn more.

About The Role

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.

We believe analytics is a profession. 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.

Responsibilities

Answer Mixpanel's biggest business and product questions to inform our strategy and operations.

Work with Mixpanel’s leadership to identify the highest priority strategic questions, and define a research roadmap to answer them.

Lead quantitative research to discover:

The relationships between user-level behavior in Mixpanel and organization/customer-level outcomes.

The best strategies for our product, marketing, and sales teams to drive higher user adoption, customer happiness, and revenue growth.

The best proxy metrics for teams to use to achieve company goals.

We're Looking for Someone Who Has

Experience driving positive change with recommendations rooted in data analysis and quantitative research.

Familiarity with measuring and driving product success.

Deep expertise in a quantitative field (Masters degree or greater preferred).

Ability to work with structured and unstructured data, including:

Advanced SQL

Scripting ability in Python

#LI-Hybrid

Compensation

The amount listed below is the total target cash compensation (TTCC) and 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. In addition to the cash compensation provided, 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.

Our 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 TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.