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Job Description
- Own the full data science lifecycle, from problem definition and data extraction to statistical modeling and executive presentation with resolving product tests.
- Design, execute, and interpret A/B tests and multivariate experiments to validate product hypothesis and measure user impact.
- Define and track the Key Performance Indicators (KPIs) that measure product health, such as user engagement and ecosystem health.
- Partner with Product Managers (PMs), Product Marketing Managers (PMMs), Engineers, and User Experience (UX) Researchers to translate raw data into insights and recommendations.
- Apply advanced statistical techniques (e.g., regression, time-series forecasting, and causal modeling) to identify growth opportunities and predict the impact of future features.