Product Data Scientist, Pixel
corporatefare_ Google place Mountain View, CA, USA; Chicago, IL, USA
Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
infooutline_
XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Chicago, IL, USA .
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 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 qualifications:
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.
About the job
As a Data Scientist on the Pixel team, you will work with key Pixel phone-related stakeholders including hardware and software engineering, product management, safety, reliability, and customer support: to understand their business-related questions, identify reasonable ways to answer them using data, and provide meaningful recommendations on strategy. You will construct and use high information density visualizations and build appropriate statistical models to help identify the key variables that impact Pixel users' experience the most. You will also build data pipelines when needed to automate the model fitting and export the model output for further use such as dashboarding.
As a Product Analyst for Pixel, you will drive data-driven improvements for Google's consumer hardware. You will play a key role in the Real Time Negative Sentiment (RTNS) project, analyzing complex telemetry to identify root causes of user frustration like severe performance degradation, connectivity problems, or application stability. Leveraging your background in embedded systems or systems engineering, you will triage issues across power, performance, connectivity, and stability domains. You will translate high-level signals into technical insights-identifying kernel wakelocks, memory thrashing, or bus failures-and build statistical models to attribute these events to specific system health indicators. Collaborating with hardware and software engineers, you will transform large-scale product health datasets into actionable strategies that enhance the reliability and quality of Pixel devices.
The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google's artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across 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 aboutbenefits at Google (https://careers.google.com/benefits/) .
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).
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\KnowYourRights\10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
