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WHAT YOU’LL DO:
- Solve problems like churn risk modeling, LTV calculations, retention impact measurement, paid marketing attribution, etc.
- Define measurement frameworks and build tools and dashboards to measure impact of initiatives across acquisition, engagement, and retention.
- Work closely with team leads on the Data and Consumer Revenue teams to understand problems, discuss approaches, and make decisions about approaches and tradeoffs.
WHO YOU ARE:
- Familiarity with Python and SQL, particularly in the context of data science and analytics.
- Demonstrable experience using data science to solve a business problem.
- Adept at leveraging AI both to accelerate your own work and to automate data science and analytics workflows.
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