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 Intuit, Google, and Waymo. Find a role that fits below and apply directly.
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Overview
Intuit’s Identity Data Science Team is looking for a hands-on Senior Data Scientist who is a creative problem solver with a passion to deliver advanced data-driven solutions. You will work alongside other Data Scientists, Product Managers, Designers, Engineers, Architects, and Program Managers to evolve Intuit’s Identity capabilities within Intuit’s Platform. As a key member of the data science team, you will have a strong track record of combining advanced analytical skills with exceptional business and entrepreneurial acumen. You will also have an ownership mindset with a strong willingness to take on new challenges with enthusiasm.
This is an exciting time to join the Identity Data Science Team at Intuit as we are building many new cutting-edge capabilities. These include a next-generation Verified Identity Network, password-less authentication powered through passkeys, Generative AI experiences, modern and sophisticated fraud prevention, centralized user and account management, and much more. Data is central to Intuit’s decision-making process, and data scientists are a critical component to evangelize data-driven decisions as we transform and scale Identity capabilities to power Intuit’s future growth.
Responsibilities
- Partner with cross functional teams to drive data-backed decisions and actionable insights
- Use a hypothesis-driven approach to drive design, implementation, and analysis of A/B experiments. Then provide executive level recommendations on next steps based on the test results and insights
- Communicate analytical findings and recommendations in a clear and concise way to non-technical audiences, both in writing and through oral presentations
- Provide guidance and thought leadership to business leaders and stakeholders on how best to harness available data to support business goals
- Ensure data collection and data processing is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases
- Identify opportunities for developing new data sources, and provide technical leadership around making those data sources high-quality and broadly available
- Pursue data quality, troubleshoot data anomalies, validate data accuracy, and drive issues to resolution
- Share responsibility for owning and maintaining the data science backlog, connecting directly with partners and stakeholders to communicate and align on priorities
Qualifications
- 5+ years of experience working in web, marketing, product, analytics, or other related data science fields with a strong knowledge of statistics
- Exceptional SQL skills and experience working with granular web and native clickstream data
- Highly proficient in Tableau, Qliksense, Quicksight or similar software
- Exceptional ability to take initiative, be a self-starter, and solve problems
- Outstanding communications skills with the ability to influence decision makers and build consensus with stakeholder teams
- Proactive and inquisitive learner who seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances
- Strong organizational skills, time management, accountability, and the ability to manage multiple projects simultaneously to meet objectives and key deadlines
- Love for mentoring and guiding others on best practices. Passionate about the advancement of the whole team
- Experience in programming languages, automation tools, and stats packages (e.g. Python) is a plus; comfortable creating re-usable data pipelines
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 $149,500 - $202,500
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Find Data Scientist JobsData Scientist Job Market in Mountain View
Who's Hiring
- Intuit173

- Google108

- Waymo22

- Youtube22

- DeepMind22

Top Industries Hiring
- Technology & Software54
- Retail11
- Fintech11
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 Intuit, Google, and Waymo, based on current listings on Migrate Mate as of November 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 November 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, Retail, and Fintech, based on current listings on Migrate Mate as of November 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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