Senior Product Data Scientist, Customer Engagement

• Define, own and refine product success metrics. Work with PM, UX, and Engineering to develop and maintain a comprehensive metric framework that ties to business priorities and contributes to annual and quarterly OKR settings.
• Apply technical expertise with observational data analysis to address critical business questions. 
  
• Collaborate with Engineering teams to identify and address instrumentation gaps, ensuring accurate data collection for key functionalities, with a focus on our most impactful customer journeys.
  
• Build an understanding of the data sets used by Customer Engagement and its partner teams, and work with Engineering teams to plug gaps in logging and data infrastructure.
  
• Improve experimentation velocity and analysis turnaround time through adoption of self-service tools and improved processes.
  

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
• 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience with a Master's degree).
• Experience with statistical data analysis, experimental design (e.g., A/B testing), and causal inference.

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
• 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience with a Master's degree).
• Experience with statistical data analysis, experimental design (e.g., A/B testing), and causal inference.