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Senior Product Data Scientist, Calling for Android and Business Communication

Google · United States · On-site

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About Google

Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.

About the role

As a Data Scientist on the Android and Business Communication (ABC) team, you will shape the future of voice communication and connectivity for the Android ecosystem. You will play a critical role in executing our strategy to "Elevate The Call" through advanced analytics, predictive modeling, and causal inference.

What they're looking for

  • 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
More about this role
  • 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.
  • 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,...

Read the full posting on Google's site ↗

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