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Product Data Scientist, Android XR

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Google Inc.
Full Time position
Listed on 2026-01-06
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 132000 - 189000 USD Yearly USD 132000.00 189000.00 YEAR
Job Description & How to Apply Below
Google place Mountain View, CA, USA

Mid

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

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• 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.

• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).

• Experience in applying AI/ML to Data Science questions, from inception to completion.

• Experience in extracting and analysing large sets of data with SQL and in designing ETL flows.

About the job

In this role, you are responsible for building and maintaining Android Extended Reality (XR), the first operating system built from the ground up for the Gemini era of spatial computing. The platform unifies Augmented Reality (AR), Mixed Reality (MR), and Virtual Reality (VR) technologies to sense the world from your vantage point and seamlessly interweave digital intelligence into your physical environment.

The goal is to extend human capability by making computing more perceptive, immersive, and helpful through the power of multimodal AI.

You will provide quantitative support, market understanding and a strategic perspective to the partners throughout the organization. You serve as an analytics expert for your partners, using numbers to help them make better decisions. You weave stories with meaningful insight from data. You make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. 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.

The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Using comprehensive technical knowledge, use custom data infrastructure or existing data models.

• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality.

• Report Key Performance Indicators (KPIs) to support business reviews with cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.

• Provide analytical insights and recommendations to influence product feature development decisions, and with some guidance.

• Partner with PM, Engineering and…
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