Data Scientist

Google; Sunnyvale (CA); Hybrid; USD 178,000 - 198,000; Full time

Job summary

Google Cloud seeks a Data Scientist in Sunnyvale, CA to drive data-driven decisions and build statistical models that scale across product initiatives. You will collaborate across teams to translate insights into actionable recommendations for business impact.

The role requires strong SQL, Python or R, and statistical methods experience, plus the ability to mentor teammates and communicate complex results to leadership. This position may offer hybrid work per policy.

Qualifications

• Bachelor’s degree in Statistics, Computer Science, Mathematics or a related field and 5 years of post-baccalaureate experience in the job offered or in a Data Scientist‑related occupation.
• Alternatively, Master’s degree in Statistics, Computer Science, Mathematics or a related field, and 3 years of experience in the job offered or in a Data Scientist‑related occupation.
• Position requires 3 years of experience in SQL for data extraction and manipulation; Python or R for statistical analysis and problem‑solving; applying statistical methods including t‑tests and descriptive statistics; defining and rationalizing metrics to measure business outcomes; and communicating analytical findings to stakeholders, including senior leadership.

Responsibilities

• Manage the end‑to‑end data lifecycle by gathering, extracting, and compiling data from various sources using SQL, R, or Python.
• Conduct in‑depth analysis and design statistical models to interpret complex datasets and provide insights at scale.
• Collaborate with stakeholders to define and refine key business questions, developing an analytical roadmap and methodology.
• Translate complex analytical findings into actionable insights to influence product development and long‑term strategy.
• Present KPIs and analytical results to support business reviews and advocate for data infrastructure improvements.

Skills

SQL

Python

R

Statistical methods

Descriptive statistics

Stakeholder communication

Education

Bachelor’s degree in Statistics/CS/Math

Master’s degree in Statistics/CS/Math

Job description

Data Scientist

Location: Sunnyvale, CA, USA

Mid

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

Minimum qualifications:

• Bachelor’s degree in Statistics, Computer Science, Mathematics or a related field and 5 years of progressive, post-baccalaureate experience in the job offered or in a Data Scientist‑related occupation.
• Alternatively, will accept a Master’s degree in Statistics, Computer Science, Mathematics or a related field, and 3 years of experience in the job offered or in a Data Scientist‑related occupation.
• Position requires 3 years of experience in the following: SQL for data extraction and manipulation; Python or R for statistical analysis and problem‑solving; Applying statistical methods including t‑tests and descriptive statistics; Defining and rationalizing metrics to measure business outcomes; and Communicating analytical findings and statistical concepts to stakeholders, including senior leadership.

About the job

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise‑grade solutions that leverage Google’s cutting‑edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full‑time position is $177,750 - $198,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job‑related skills, experience, and relevant education or training. Learn more about benefits at Google.

Position reports to the Google Sunnyvale, CA office & may allow for a hybrid schedule per Google policy.

Responsibilities

• Manage the end‑to‑end data lifecycle by gathering, extracting, and compiling data from various sources using tools like SQL, R, or Python while ensuring data quality and security.
• Conduct in‑depth analysis and design statistical models to interpret complex datasets, formulate conclusions, and iteratively build prototypes that provide insights at scale.
• Collaborate with stakeholders to define and refine key business questions, developing an analytical roadmap and methodology to address product or business challenges effectively.
• Translate complex analytical findings into actionable insights and strategic recommendations to influence product development decisions and long‑term business strategy.
• Present key performance indicators and analytical results to support business reviews and communicate opportunities to cross‑functional leadership teams. Develop comprehensive knowledge of internal data structures and advocate for infrastructure improvements to enhance data quality and processing capabilities for future analyses.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google’s Applicant and Candidate 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 also Google’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.