Product Data Scientist, Android Onboarding and Settings

Google; Mountain View (CA); On-site; USD 138,000 - 197,000; Full time

Job summary

Google in Mountain View, CA is hiring a Product Data Scientist for Android Onboarding and Settings. The role focuses on guiding data science efforts, influencing the roadmap, and delivering a high‑quality onboarding experience across Android.

Requires strong quantitative background and coding skills, with expert collaboration across multiple teams to enable telemetry and robust device settings access. US compensation ranges from $138,000 to $197,000 plus a 15% bonus target, equity, and benefits;

Qualifications

• Bachelor's degree in statistics, mathematics, data science, engineering, physics or related quantitative field.
• 5 years of work experience with analysis applications and coding (Python, R, SQL) or 2 years with a Master's degree.

Responsibilities

• Provide expert data science guidance enabling data‑driven decisions that accelerate development.
• Influence the team roadmap, advocating tools and processes for better product development.
• Collaborate with Android Onboarding and Settings teams to ensure high‑quality experiences.
• Work with Clarity metrics to safeguard health of the onboarding experience and telemetry.
• Partner with Settings to ensure a consistent mechanism for accessing and modifying device settings.

Skills

Python

R

SQL

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field

Job description

Product Data Scientist, Android Onboarding and Settings

Google

Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years work experience with a Master's degree.

Preferred qualifications:

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

About the job

Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.

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

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Provide expert data science guidance, enabling data-driven decisions that accelerate development and improve efficiency.
• Influence the team roadmap, advocating the development of the right tools and processes that empower engineers to build better products faster.
• Work with the Backup and Restore and Setup Specialist teams to build a high-quality Android Onboarding journey with a seamless, effortless, and polished experience.
• Work closely with the Clarity team (AOB metrics team) to safeguard the health of the Android Onboarding experience and empower developers to implement feature‑specific telemetry on a robust, scalable, and user-friendly infrastructure, facilitating early detection and mitigation of regressions.
• Partner with the Settings team to understand the usage of various surfaces to ensure the Settings API/appFunction provides a consistent mechanism for authorized applications (Gemini and OEM AI agents) to access and modify all device settings.

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