Google · 1 day ago
Product Data Scientist, Pixel
Mountain View, CA, USA
Full-time
Onsite
Mid, Senior Level
$132K/yr - $189K/yr
5+ years expGoogle is seeking a Product Data Scientist for their Pixel team, where you will collaborate with stakeholders to analyze data and provide strategic recommendations. The role involves constructing visualizations, building statistical models, and driving data-driven improvements for Google’s consumer hardware, particularly focusing on user experience and product reliability.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
Responsibilities
Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). 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 teams. Translate analysis results to business insights or product improvement opportunities
Work closely with embedded systems engineers to translate high-level negative sentiment signals into actionable technical insights (e.g., identifying specific kernel wakelocks, memory thrashing, or bus failures)
Conduct advanced data analysis (including visualization and statistical modeling) to make business recommendations. Focus on why users reboot their phones (what is frustrating and how to quantify impact)
Qualification
Required
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 and a Master's degree)
Experience analyzing device telemetry to triage issues; distinguishing between software regressions and hardware limitations (i.e., power, performance, connectivity, or stability domains)
Preferred
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
Experience analyzing time-series data or telemetry from hardware devices
Experience working on Android or other embedded systems
Benefits
Bonus
Equity
Benefits
Company
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
10001+ employees
H1B Sponsorship
Google has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)
Funding
Current Stage
Public CompanyTotal Funding
$26.1MKey Investors
Kleiner Perkins,Sequoia CapitalAndy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M
Leadership Team
Sundar Pichai
CEO
Thomas Kurian
CEO - Google Cloud
Recent News
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