Data Scientist Jobs in Mountain View, CA
Data Scientist jobs in Mountain View are in high demand, concentrated in the North Bayshore tech corridor, Castro Street downtown district, and the Moffett Park area across enterprise software, artificial intelligence, and cloud infrastructure. Employers hiring right now include Google, Intuit, and Waymo. Find a role that fits below and apply directly.
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Showing 5 of 448+ Data Scientist jobs
Minimum qualifications:
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- 6 years of experience as a people manager within a technical leadership role.
- Experience managing data sets to solve product or business problems.
- Experience with coding (e.g., SQL, Python, or R), querying databases, or statistical analysis.
Preferred qualifications:
- 11 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- Experience with code management concepts (google3, cider, blaze) and a desire to evolve at pace with AI.
- People management experience, particularly ability to mentor highly technical teams.
- Knowledge of our product areas and of data science + financial concepts (ROAS, incrementality, inference, etc.).
- Willingness to teach others and learn new analytical techniques, coding frameworks, etc.
- Excellent problem solving and analysis skills, with impeccable business judgment and the ability to communicate and partner with a senior management team.
About the job
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
We provide GBO leadership with strategy and insights, which maximize the value of our business to customers and to Google, through commercial actions we identify, prioritize, monitor and evaluate in partnership with GPS, GTM and other Finance teams. As part of this team, you will have the opportunity to flex technical, analytical, strategic and business partnering skills to influence senior executive decisions.
Within GBO Product Finance, the Search+Core team is responsible for partnering with the GPS Search+ organization, and in charge of incrementality and opportunity sizing across products in partnership with Econ, as well as the GCE team. In addition, we build core infrastructure and tooling to be utilised across the wider analyst community in GBO Finance.
We are seeking team members with a high degree of curiosity and passion about Google, wanting to positively influence the strategic direction of the Ads business, and who knows how to operate in a fast-paced and at times unstructured environment as part of our globally distributed team with big goals. We are also leading innovation in deploying AI at scale to solve business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Manage a group of experienced data scientists with a portfolio of projects guiding and supporting decision making in the Search+ space.
- Build strong relationships with the Search+ team leadership and represent a critical and grounded Finance POV in various decision making forums.
- Help the team solve complex and ambiguous problems through combination of technical, statistical, analytical and business acumen.
- Nurture strategic partnership with other analytical teams such as Econ, Product Data Science, and GPS strategists to propose exceptional work to our partners.
- Develop with the team the next generation of AI infrastructure and tooling to increase productivity.
Minimum qualifications:
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- 6 years of experience as a people manager within a technical leadership role.
- Experience managing data sets to solve product or business problems.
- Experience with coding (e.g., SQL, Python, or R), querying databases, or statistical analysis.
Preferred qualifications:
- 11 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- Experience with code management concepts (google3, cider, blaze) and a desire to evolve at pace with AI.
- People management experience, particularly ability to mentor highly technical teams.
- Knowledge of our product areas and of data science + financial concepts (ROAS, incrementality, inference, etc.).
- Willingness to teach others and learn new analytical techniques, coding frameworks, etc.
- Excellent problem solving and analysis skills, with impeccable business judgment and the ability to communicate and partner with a senior management team.
About the job
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
We provide GBO leadership with strategy and insights, which maximize the value of our business to customers and to Google, through commercial actions we identify, prioritize, monitor and evaluate in partnership with GPS, GTM and other Finance teams. As part of this team, you will have the opportunity to flex technical, analytical, strategic and business partnering skills to influence senior executive decisions.
Within GBO Product Finance, the Search+Core team is responsible for partnering with the GPS Search+ organization, and in charge of incrementality and opportunity sizing across products in partnership with Econ, as well as the GCE team. In addition, we build core infrastructure and tooling to be utilised across the wider analyst community in GBO Finance.
We are seeking team members with a high degree of curiosity and passion about Google, wanting to positively influence the strategic direction of the Ads business, and who knows how to operate in a fast-paced and at times unstructured environment as part of our globally distributed team with big goals. We are also leading innovation in deploying AI at scale to solve business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Manage a group of experienced data scientists with a portfolio of projects guiding and supporting decision making in the Search+ space.
- Build strong relationships with the Search+ team leadership and represent a critical and grounded Finance POV in various decision making forums.
- Help the team solve complex and ambiguous problems through combination of technical, statistical, analytical and business acumen.
- Nurture strategic partnership with other analytical teams such as Econ, Product Data Science, and GPS strategists to propose exceptional work to our partners.
- Develop with the team the next generation of AI infrastructure and tooling to increase productivity.
See All 448+ Data Scientist Jobs in Mountain View
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Find Data Scientist JobsData Scientist Job Market in Mountain View
Who's Hiring
- Google208
- Intuit83
- Waymo31
- Newsbreak21
- LatentView Analytics21
Top Industries Hiring
- Technology & Software
- Retail
Data Scientist Jobs in Mountain View: Frequently Asked Questions
How do I get a data scientist job in Mountain View?
Focus your search on the enterprise software, AI research, and cloud platform companies concentrated in North Bayshore and the Moffett Park corridor. Roles in Mountain View skew toward applied machine learning, product analytics, and large-scale data engineering, so hands-on project work and a strong GitHub portfolio carry real weight here. Targeting mid-size growth-stage companies alongside large tech employers also broadens your options considerably.
Which companies hire data scientists in Mountain View?
Employers hiring data scientists in Mountain View right now include Google, Intuit, and Waymo, based on current listings on Migrate Mate as of September 2026. Mountain View draws a mix of established technology companies with large data science divisions and high-growth AI and SaaS firms that hire across seniority levels.
Are there remote data scientist jobs in Mountain View?
Yes, though it depends on the role. Analytical and modeling work lends itself to remote arrangements, while positions tied to on-site infrastructure or collaborative research teams tend to require in-office presence. About 63% of data scientist openings tied to Mountain View are remote or hybrid as of September 2026, with hybrid schedules most common among product analytics and machine learning roles at larger employers.
How can I get a data scientist job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is targeting associate data analyst or junior machine learning engineer roles at mid-size SaaS and AI companies in the North Bayshore area, which tend to hire more flexibly than large established tech firms. Building a portfolio of end-to-end projects using public datasets, contributing to open-source tools, and completing internships at Mountain View startups all help a candidate stand out in a market that values demonstrated output over credentials alone.
Which industries hire the most data scientists in Mountain View?
Mountain View data scientist roles concentrate in Technology & Software and Retail, based on current listings on Migrate Mate as of September 2026. Mountain View's dense cluster of technology headquarters and AI-focused research labs makes it one of the highest-demand markets in the country for data science talent across those sectors.
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See All 448+ Data Scientist Jobs in Mountain View
Find roles in Mountain View that match your experience and apply in just a few clicks.
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