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 Intuit, Google, and Coupang Global. See the openings below and apply to the ones that match your experience.
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Showing 5 of 72+ Senior Staff Data Scientist jobs
Overview
As a Staff Data Scientist, you will join our team of talented Data Engineers, Data Analysts, and Data Scientists to develop tools, define metrics, and build a robust Data/AI infrastructure that informs critical business decisions. You will also partner closely with cross functional teams in AI Research, Product Management, Service Delivery, Strategy, and Engineering to develop capabilities that will drive our AI Driven platform into the future.
Responsibilities
Lead experimental designs and measurement plans.
Build optimization models and simulation tools to support strategic decisions across customer success operations, including service delivery, workforce planning, customer escalations, knowledge management, scheduling, and routing.
Develop and operationalize decision science frameworks to optimize support costs and maximize customer outcomes.
Partner with stakeholders across Customer Success, Operations, and Strategy teams to embed AI/ML solutions in real-time decision engines and operational workflows.
Work side-by-side with product managers, software engineers, and designers in designing models, experiments, and minimum viable products.
Develop agentic capabilities to power our Expert Network and streamline processes, uncover insights, and reduce the manual burden on the team.
Qualifications
Advanced proficiency in SQL and a statistical programming language such as Python and/or R.
7+ years of experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.
Deep understanding of Generative AI and other evolving technologies to accelerate insights from multi-modal data.
Expertise in experimental design and Multivariate/A-B testing.
Experience in optimization techniques, such as linear programming, integer programming, constraint optimization, and simulation modeling.
Experience building and deploying operational models for staffing, queue management, or dynamic resource allocation.
Familiarity with customer success metrics and operational KPIs such as Net Promoter Score (NPS), Average Handle Time (AHT), First Contact Resolution (FCR), and agent utilization.
Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit.
Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
San Diego $185,500 - $251,000
Overview
As a Staff Data Scientist, you will join our team of talented Data Engineers, Data Analysts, and Data Scientists to develop tools, define metrics, and build a robust Data/AI infrastructure that informs critical business decisions. You will also partner closely with cross functional teams in AI Research, Product Management, Service Delivery, Strategy, and Engineering to develop capabilities that will drive our AI Driven platform into the future.
Responsibilities
Lead experimental designs and measurement plans.
Build optimization models and simulation tools to support strategic decisions across customer success operations, including service delivery, workforce planning, customer escalations, knowledge management, scheduling, and routing.
Develop and operationalize decision science frameworks to optimize support costs and maximize customer outcomes.
Partner with stakeholders across Customer Success, Operations, and Strategy teams to embed AI/ML solutions in real-time decision engines and operational workflows.
Work side-by-side with product managers, software engineers, and designers in designing models, experiments, and minimum viable products.
Develop agentic capabilities to power our Expert Network and streamline processes, uncover insights, and reduce the manual burden on the team.
Qualifications
Advanced proficiency in SQL and a statistical programming language such as Python and/or R.
7+ years of experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.
Deep understanding of Generative AI and other evolving technologies to accelerate insights from multi-modal data.
Expertise in experimental design and Multivariate/A-B testing.
Experience in optimization techniques, such as linear programming, integer programming, constraint optimization, and simulation modeling.
Experience building and deploying operational models for staffing, queue management, or dynamic resource allocation.
Familiarity with customer success metrics and operational KPIs such as Net Promoter Score (NPS), Average Handle Time (AHT), First Contact Resolution (FCR), and agent utilization.
Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit.
Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
San Diego $185,500 - $251,000
See All 72 Senior Staff Data Scientist Jobs in Mountain View
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Find JobsSenior Staff Data Scientist Job Market in Mountain View
Who's Hiring
- Intuit57
- Google10
- Coupang Global5
Top Industries Hiring
- Retail
- Technology & Software
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 Intuit, Google, and Coupang Global and others right now, based on current listings on Migrate Mate as of November 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 33% of senior staff data scientist openings tied to Mountain View are remote or hybrid as of November 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 and Technology & Software, per current listings on Migrate Mate as of November 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.
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See All 72 Senior Staff Data Scientist Jobs in Mountain View
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