Senior Staff Data Scientist Jobs in Mountain View, CA
Senior Staff Data Scientist jobs in Mountain View are concentrated in the North Bayshore tech corridor, downtown Castro Street district, and the Middlefield Road research zone, with the highest demand coming from AI, cloud infrastructure, and consumer technology sectors. Employers actively hiring include Google, Intuit, and Waymo. See the openings below and apply to the ones that match your experience.
Find JobsOverview
Showing 5 of 70+ Senior Staff Data Scientist jobs
Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of experience with a Master's degree.
- Experience with commercial metrics or business models (e.g., e-commerce, retail, subscriptions, promotions, or pricing).
Preferred qualifications:
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 12 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
- Experience building predictive models for customer lifetime value (LTV), pricing, or user churn.
- Experience with driving app growth through traffic redirects, engagement, conversion funnel optimizations, and notifications.
About the job
Google Store is the first-party e-commerce site for Google's expanding portfolio of hardware products and associated services. As the authoritative place to learn about and purchase Google's hardware, our product range includes Pixel phones, Pixel Watch, Fitbit, Google Home and Health products, and accessories. The data science team drives business and product decisions through measurement, experimentation, modeling, causal inference, and optimization. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Perform analysis utilizing relevant tools (e.g., SQL, R, Python) and provide investigative thought leadership through proactive and strategic contributions.
- Develop the data science roadmap that delivers against the broader strategy. Establish project goals, coordinate resources, and provide technical leadership.
- Synthesize insights from cross-channel experimentation, calculating price elasticity curves and establishing performance baselines for user interventions.
- Define and report Key Performance Indicators (KPIs) during business reviews. Translate analysis results into business insights or product improvement opportunities.
- Build predictive models integrating complex datasets and serve as the subject matter expert driving metrics development, modeling, and presenting to stakeholders.
Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of experience with a Master's degree.
- Experience with commercial metrics or business models (e.g., e-commerce, retail, subscriptions, promotions, or pricing).
Preferred qualifications:
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 12 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
- Experience building predictive models for customer lifetime value (LTV), pricing, or user churn.
- Experience with driving app growth through traffic redirects, engagement, conversion funnel optimizations, and notifications.
About the job
Google Store is the first-party e-commerce site for Google's expanding portfolio of hardware products and associated services. As the authoritative place to learn about and purchase Google's hardware, our product range includes Pixel phones, Pixel Watch, Fitbit, Google Home and Health products, and accessories. The data science team drives business and product decisions through measurement, experimentation, modeling, causal inference, and optimization. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Perform analysis utilizing relevant tools (e.g., SQL, R, Python) and provide investigative thought leadership through proactive and strategic contributions.
- Develop the data science roadmap that delivers against the broader strategy. Establish project goals, coordinate resources, and provide technical leadership.
- Synthesize insights from cross-channel experimentation, calculating price elasticity curves and establishing performance baselines for user interventions.
- Define and report Key Performance Indicators (KPIs) during business reviews. Translate analysis results into business insights or product improvement opportunities.
- Build predictive models integrating complex datasets and serve as the subject matter expert driving metrics development, modeling, and presenting to stakeholders.
See All 70 Senior Staff Data Scientist Jobs in Mountain View
Find roles in Mountain View that match your experience and apply in just a few clicks.
Find JobsSenior Staff Data Scientist Job Market in Mountain View
Who's Hiring
- Google41
- Intuit21
- Waymo4
- Coupang Global4
Top Industries Hiring
- Retail
Senior Staff Data Scientist Jobs in Mountain View: Frequently Asked Questions
How do I get a senior staff data scientist job in Mountain View?
The strongest path into Mountain View's senior staff data scientist market is through AI research, large-scale ML infrastructure, and product analytics roles at the technology companies concentrated in North Bayshore and along Middlefield Road. Candidates who can demonstrate cross-functional leadership, experience working with petabyte-scale data systems, and a history of shipping models into production stand out. Familiarity with the consumer technology and cloud platform sectors that dominate local hiring gives a real edge.
Which companies hire senior staff data scientists in Mountain View?
Mountain View senior staff data scientist roles are posted by Google, Intuit, and Waymo and others right now, based on current listings on Migrate Mate as of September 2026. The local employer base skews heavily toward established technology platforms, AI-focused startups, and life sciences companies that have built research campuses in the city.
Are there remote senior staff data scientist jobs in Mountain View?
Yes, though availability depends on the role, since senior staff data scientist work that involves embedded product teams or on-site infrastructure often requires a physical presence. About 50% of senior staff data scientist openings tied to Mountain View are remote or hybrid as of September 2026, reflecting demand from companies comfortable with distributed teams. Modeling, analytics strategy, and research-oriented positions tend to offer the most location flexibility.
How can I get a senior staff data scientist job in Mountain View with little or no experience?
The most realistic entry path locally is through a staff or mid-level data scientist role at one of Mountain View's mid-size AI or consumer technology companies, which often promote from within as projects scale. Research internships and applied science associate programs at larger North Bayshore employers also convert to full-time offers. Building a portfolio that demonstrates end-to-end ML pipeline work, not just analysis, is what local hiring managers consistently prioritize over credentials alone.
Which industries hire the most senior staff data scientists in Mountain View?
Most senior staff data scientist openings in Mountain View sit in Retail, per current listings on Migrate Mate as of September 2026. Mountain View's history as a hub for consumer internet platforms, autonomous systems research, and enterprise cloud infrastructure means these sectors have built the deepest local talent pipelines and continue to generate the most consistent hiring activity.
Related Jobs in California
See All 70 Senior Staff Data Scientist Jobs in Mountain View
Find roles in Mountain View that match your experience and apply in just a few clicks.
Find Jobs