Product Data Scientist, Android XR

Google•Mountain View, CA

About The Position

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. 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.

Requirements

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).

Nice To Haves

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.

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 other Android teams to provide product and strategy insights that will improve performance and help scale the product/features.