Staff Data Scientist, Platform (Inference/Payments)

• Inference: Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts
• AI/ML: Build methods for robust evaluation of ML/AI model efficiency and performance. Ability to identify use-cases for and develop predictive models to classify, segment, and interpret our users’ behavior
• Optimization: Develop methodologies to explore/simulate the impact of new interventions and develop data products to optimize product/operational strategies
• Communication: Deliver robust research reports and effective data visualizations. Collaborate with and present to stakeholders to identify opportunities and communicate findings, and drive impact
• Empowerment: Think strategically about opportunities to improve and scale our brand measurement and customer insights

• 9+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (math / economics / statistics, and etc.), or 6+ years of experience with a PhD degree
• Strong knowledge of causal inference, experimentation, and statistical modeling
• Skilled in statistical programming (Python or R) and database usage (SQL)
• Proven ability to communicate clearly and effectively to audiences of varying technical levels
• Ability to translate complex findings and results into compelling narratives that drive impact
• Excellent project management, communication, and teamwork skills

Payments/Risk Domain expertise is a strong plus

bonus, equity, benefits, and Employee Travel Credits