Staff Product Data Scientist, Pixel

Google • Mountain View, CA • 4h ago

corporatefare_ Google place Mountain View, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Minimum qualifications:

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

10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of work experience with a Master's degree.

Experience building predictive or causal models to understand user behaviors (such as churn, loyalty, engagement, etc.).

Preferred qualifications:

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

12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

About the job

Google Pixel phones, watches, and earbuds showcase the best of Google's hardware and AI. We develop technologies to make user experiences faster, more powerful, and seamless including industry leading camera features powered by Google's expertise in Artificial Intelligence and Machine Learning.

The Pixel Data Science team's mission is to power the growth and evolution of the Pixel ecosystem. We bridge data, analytics, and business strategy, acting as essential thought partners to product and strategy leaders within the centralized Devices and Services Strategy and Operations (StratOps) organization. By uncovering critical insights and developing data-driven solutions, we optimize performance, enhance user experiences, and help scale the Google Pixel business.

In this role, you will provide business critical insights, leveraging data to influence the direction of products. Your work will directly contribute to key decisions and the overall success of the Pixel line.The US base salary range for this full-time position is $183,000-$271,000 + 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 on key Pixel metrics utilizing advanced investigative tools (e.g., SQL, R, Python). Own and execute the full workstream for Pixel dashboards, including data engineering, dashboard design, metrics definition, and insights sharing.

Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of statistical models, and presentation to stakeholders.

Develop solutions for ambiguous problems lacking clear precedent by framing hypotheses and providing recommendations that combine investigative and product-specific expertise.

Liaise and align cross-functionally with Product Management, Marketing, Sales, and Executive leadership to translate analytics into actionable business solutions.

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.

Google

Go to Apply

Share this job

Similar Jobs

Product Data Scientist, Payments

Uber • Sunnyvale, CA • 4h ago

IT & Engineering

About the Role We are looking for a Data Scientist to join our Payments Science team and make significant contributions to our mission to streamline and optimize Uber's global payment experiences. You will work with prod...

4h ago

Go to Apply

Data Scientist

Cisco • Milpitas, CA • 4h ago

IT & Engineering

The application window is expected to close on: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . The application window is open until further notice. N...

4h ago

Go to Apply

Data Scientist

Schlumberger • Menlo Park, CA • 4h ago

IT & Engineering

The Data Scientist is responsible for conducting undirected research and tackle open-ended data problems and questions. Drawing on an advanced degree in a quantitative field such as computer science, physics, statistics...

4h ago

Go to Apply

Principal Business Systems Solutions Architect

Intuit • Mountain View, CA • 4h ago

IT & Engineering

Overview Join Intuit's Customer Success organization as a Staff Business Systems Solutions Architect within the highly talented Expert Network BSA team. This role offers end-to-end accountability for designing and implem...

4h ago

Go to Apply

Staff Business Systems Solutions Architect

Intuit • Mountain View, CA • 4h ago

IT & Engineering

4h ago

Go to Apply

MD, Process Engineer

Applied Materials • Santa Clara, CA • 4h ago

IT & Engineering

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help...

4h ago

Go to Apply

Staff Research Data Scientist, Search

Google • Mountain View, CA • 4h ago

IT & Engineering

Staff Research Data Scientist, Search corporatefare_ Google place Mountain View, CA, USA Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in...

4h ago

Go to Apply

Senior Associate, Data Scientist - Recommendation & Personalization Systems

Capital One • San Jose, CA • 4h ago

IT & Engineering

Senior Associate, Data Scientist - Recommendation & Personalization Systems Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit ca...

4h ago

Go to Apply

Senior Software Engineer

Apple • Cupertino, CA • 10h ago

IT & Engineering

Weekly Hours: 40 Role Number: 200637055-0836 Summary The Motion & Interaction team designs and delivers intuitive customer experiences through motion sensing. When you simply raise your wrist, shake your head, or mov...

10h ago

Go to Apply

Manufacturing Engineer, Trainium Manufacturing, Quality and Reliability

Amazon • Cupertino, CA • 16h ago

IT & Engineering

Description Leading the manufacturing of AI Servers and Systems based on Trainium chips across cross-geographical ODMs and CMs. As part of the Manufacturing, Quality and Reliability Team in Annapurna Labs focused on Mach...

16h ago

Go to Apply

Subscribe to get new jobs sent directly to you
(no charge, cancel anytime)

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.