Senior Product Data Scientist, Calling for Android and Business Communication

• Utilize advanced predictive modeling, causal inference, and machine learning techniques to power "Proactive and Agentic AI" features, optimizing user phone calling experiences. 
• Design A/B experiments and develop comprehensive measurement frameworks, Key Performance Indicators (KPIs), and dashboards to evaluate how new calling features impact user engagement and ecosystem growth.
• Develop classification and evaluation strategies to continuously improve Scam Detection and Call Screen, ensuring high precision in identifying harmful calls as these features scale globally and across partner OEMs.
• Collaborate with engineering and data engineering to advocate for infrastructure solutions to build metrics and analyze cross-app impact
• Measure the engagement and virality of peer-to-peer communication features (such as Contact Calling Cards and Audio Emojis) to establish high-engagement network effects and uncover data-driven insights for early monetization opportunities.

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  
• 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 A/B testing methodologies.

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• Experience developing and using AI tools in the context of data science for large, consumer facing internet products.
• Experience with telephony, connectivity, or telecommunication systems.

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  
• 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 A/B testing methodologies.