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.
Minimum qualifications:
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience.
5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL), or 2 years work experience with a Master's degree.
Preferred qualifications:
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
