Senior Data Scientist

Google Inc.; San Francisco (CA); Hybrid; USD 207,000 - 237,000; Full time

Job summary

Google Inc. in San Francisco, CA is seeking a Senior Data Scientist to drive progress on large-scale data problems and mentor junior team members within the Search organization.

You will analyze diverse datasets using SQL, Python, and R, build predictive models and dashboards, and partner with product and engineering teams to shape data-driven decisions across Google’s search experiences. The role may offer a hybrid schedule in line with Google policy, and the US base salary range reflects

Qualifications

• Requires a Bachelor's degree and 6+ years in Data Science or related field.
• Alternatively, a Master's degree with 3+ years of relevant experience.
• Experience in SQL, Python, or R for data manipulation, modeling, and visualization.

Responsibilities

• Extract, format, and validate complex datasets from multiple sources for quality and readiness.
• Conduct advanced analyses using SQL, R, and Python to solve complex problems.
• Report KPIs to leadership and translate results into actionable product insights.
• Prototype scalable business cases and build robust data processes.
• Master internal data structures and mentor cross-functional teams on data needs.

Skills

SQL

Python

R

Statistical analysis

Product analytics

Stakeholder management

UX measurement

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Physics, Economics, Operations Research or related field

Master's degree in Data Science, Statistics, Mathematics, Physics, Economics, Operations Research or related field

Job description

corporate_fare Google place San Francisco, CA, USA

Mid

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

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info_outline X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

• Bachelor’s degree in Data Science, Statistics, Mathematics, Physics, Economics, Operations Research or a related field and 6 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 Data Science, Statistics, Mathematics, Physics, Economics, Operations Research 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: Coding in SQL, Python, or R to manipulate, analyze, visualize large datasets, and build models; Statistical analysis or quantitative data synthesis to draw inferences, identify trends, and solve product or business problems; User experience measurement or attribution modeling to evaluate customer interactions; Product analytics or business intelligence to define metrics, create dashboards, and measure success; and Stakeholder management or cross-functional collaboration to align objectives, gather consensus, and persuade leaders.

About the job

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $206,600 - $237,000+ 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 San Francisco, CA office & may allow for a hybrid schedule as per Google policy.

Responsibilities

• Extract, format, and validate complex datasets from multiple sources to guarantee quality and analysis readiness.
• Execute advanced analyses utilizing SQL, R, and Python to resolve ambiguous problems and deliver optimal solutions.
• Report Key Performance Indicators to leadership and translate analytical results into actionable product improvement insights.
• Prototype scalable business cases and build robust processes with the foresight to anticipate future challenges.
• Master internal data structures and metrics to effectively advocate for impactful product development changes. Influence cross-functional teams to align strategic resources while providing oversight and setting standards for data scientists.

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 .

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.