Senior Product Data Scientist, Calling for Android and Business Communication

Google; Mountain View (CA); On-site; USD 163,000 - 236,000; Full time

Job summary

Google is seeking a Data Scientist on the Android and Business Communication team to shape the future of voice and connectivity. You will drive 0-to-1 measurement, predictive modeling, and causal inference for features like Call For Me and Scam Detection.

Work with engineering, product, and UX to scale insights globally, starting with Pixel devices and expanding to partners and emerging form factors.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or 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 with a Master's degree.
• Experience with A/B testing methodologies.
• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or related quantitative field.
• Experience developing and using AI tools in data science for large consumer-facing internet products.
• Experience with telephony, connectivity, or telecommunication systems.

Responsibilities

• Utilize advanced predictive modeling, causal inference, and ML to power proactive AI features.
• Design A/B experiments and develop measurement frameworks, KPIs, and dashboards.
• Develop classification and evaluation strategies to improve Scam Detection and Call Screen.
• Collaborate with engineering to advocate for infrastructure solutions to build metrics.
• Measure engagement and virality of peer-to-peer features to establish network effects.

Skills

Python

R

SQL

A/B testing

AI tools

Education

Bachelor's degree in a quantitative field

Master's degree

Tools

Telephony systems

Job description

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Francisco, CA, USA

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.

About The Job

Android, Business, and Communications (ABC) is at the core of how people and businesses connect across the globe. Our mission is to build the world’s most helpful, expressive, and secure communication experiences. With nearly 2 billion active users on Google Messages and nearly 1 billion using the Phone app (Dialer), we ship products that make a meaningful difference in lives worldwide.

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. Working closely with cross-functional partners across Engineering, Product, and UX, you will drive the 0-to-1 measurement and optimization of proactive AI features like Call For Me, enhance user protection via advanced Scam Detection, and accelerate peer-to-peer network effects.

Your data-driven insights will directly influence the product roadmap, starting with Pixel devices as our innovation lead, and scaling to premium Android partners (e.g., Samsung via CallCore) and emerging form factors like XR and Wear OS. If you are passionate about using data to build secure, helpful, and AI communication experiences at a global scale, this role is for you.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .