title-image
Turrior - Let work find you
Recruiters get AI-ranked shortlists and automated outreach, filling roles up to 5× faster.
0%
Popularity
0d
Avg. Time to Hire
0h
Recruiter Res. Time
0%
HR Satisfaction
Careers at Google
All open opportunities, right here. Explore, apply, grow.
Apply now

Senior Data Scientist, Product

28 Aug 2024
Mountain View, CA, USA
Verified by Turrior

Content + Source + Freshness • 14 Dec 2025 • 95% confidence

90 / 100

Offer value

The role offers a strong alignment with market demand and competitive compensation, making it attractive for experienced Data Scientists.

  • Competitive salary: $142,000–$211,000/year
  • Valuable mentorship and leadership opportunities
  • Work at a globally recognized tech leader
  • Requires significant experience (8+ years)
Pros
  • High salary range ($142,000-$211,000/year) reflecting market standards.
  • Opportunity to work at a leading technology company with global impact.
  • Mentorship opportunities, enhancing personal and professional development.
Cons
  • High expectations for experience may limit applicant pool.
  • Role may involve intense project demands and rapid work pace.
  • Limited flexibility regarding remote work options.

Who it's for

Senior / Lead • Hybrid / office with some flexibility

Good fit
  • Experienced data professionals
  • Candidates looking for impactful analytical roles
  • Mentors aiming to guide junior analysts
Not recommended for
  • Beginner data scientists or recent graduates
  • Candidates seeking less challenging environments
  • Individuals without strong programming skills

Motivation fit

Desire to influence data-driven decision-making.Interest in mentoring junior team members.Enthusiasm for working on high-scale projects.

Key skills

Data analytics and statistical modelingProficiency in Python, R, SQLAbility to translate complex data into actionable insights
Score: 90/100 AI verified analysis

About the job

Senior Data Scientist, Product

  • linkCopy link
  • emailEmail a friend
corporate_fareGoogleplaceMountain View, CA, USA; San Bruno, CA, USA; +3 more; +2 more

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Apply
  • linkCopy link
  • emailEmail a friend
info_outline
XInfo Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Bruno, CA, USA; Sunnyvale, CA, USA; San Jose, CA, USA.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Bruno, CA, USA; Sunnyvale, CA, USA; San Jose, CA, USA.

Minimum qualifications:

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience with a Master's degree).

Preferred qualifications:

  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 8 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

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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 about benefits at Google.

Responsibilities

  • Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution.
  • Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues.
  • Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
  • Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development.
  • Influence across teams to align resources and direction.

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.

Similar Jobs

End-to-end AI hiring for modern HR teams

Turrior uses artificial intelligence to create job listings, automate candidate screening, conduct video interviews, and apply comprehensive AI scoring — helping companies hire faster, more accurately, and with lower operational costs.

Key benefits:

  • AI-powered job creation and structured job data
  • Intelligent candidate screening and automated shortlisting
  • Video interviews with AI-based answer analysis
  • Comprehensive AI scoring of skills, experience, and role fit
  • Recruitment process automation and reduced time-to-hire

Share job