Responsibilities

• Perform analysis utilizing relevant tools (e.g., SQL, R, Python) and provide investigative thought leadership through proactive and strategic contributions.
• Develop the data science roadmap that delivers against the broader strategy. Establish project goals, coordinate resources, and provide technical leadership.
• Synthesize insights from cross-channel experimentation, calculating price elasticity curves and establishing performance baselines for user interventions.
• Define and report Key Performance Indicators (KPIs) during business reviews. Translate analysis results into business insights or product improvement opportunities.
• Build predictive models integrating complex datasets and serve as the subject matter expert driving metrics development, modeling, and presenting to stakeholders.

Requirements

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of experience with a Master's degree.
• Experience with commercial metrics or business models (e.g., e-commerce, retail, subscriptions, promotions, or pricing).

Preferred

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 12 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
• Experience building predictive models for customer lifetime value (LTV), pricing, or user churn.
• Experience with driving app growth through traffic redirects, engagement, conversion funnel optimizations, and notifications.