Staff Data Scientist Mountain View, California
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
Strong score due to its role within a significant growth area of the company, competitive compensation prospects, and the value placed on experience in analytics.
- Competitive salary potential in data science
- Impactful role within a growth-driven team
- Focus on innovative applications of advanced analytics
- High expectations for expertise and growth
Pros
- Promising prospects in data-driven decision-making for product growth.
- Competitive salary potential using advanced technology in analytics.
- Opportunity to shape analytics strategies within a major tech firm.
Cons
- The preference for advanced education may limit applicant pool.
- Potential for high pressure in meeting business growth targets.
- Involvement in cross-functional meetings may affect scheduled work timelines.
Who it's for
Mid to Senior • Onsite with hybrid potential
Good fit
- Data experts with strong analytical skills
- Individuals experienced in financial technology
- Candidates wanting to leverage analytics for business growth
Not recommended for
- Entry-level professionals with limited hands-on experience
- Researchers preferring studies over practical application
- Candidates focused on isolated tasks without cross-team collaboration
Motivation fit
Key skills
About the job
Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Come join the Global Business Solutions Group (GBSG) Product Data Science team as a Staff Data Scientist. Our mission is to deliver delightful “Done for you” (DFY) customer experiences and accelerate GBSG user growth and retention through a data-driven, platform-led approach to growth. This is a high-impact role where your work will directly influence product, marketing, and business model strategies.
As a Staff Data Scientist, you will operate as a senior individual contributor, partnering closely with peers and leaders to identify, validate, and refine innovative growth strategies. Your expertise—especially in causal inference and advanced analytics—will be instrumental in surfacing critical insights and translating them into actionable hypotheses that fuel sustained customer and revenue growth.
Responsibilities
- Drive Business Strategy through Data - Translate business problems into analytical frameworks. Connect data across multiple functions to drive actionable recommendations and strategic growth opportunities for the DFY platform offerings
- Build & Operationalize Advanced Models - Develop and deploy machine learning models and statistical frameworks to forecast growth, uncover patterns, and optimize decision-making across the GBSG Platform team
- Experimentation & Causal Inference - Design, run, and analyze A/B tests and quasi-experiments using methodologies such as synthetic control, regression discontinuity, or propensity score matching to establish causal relationships and measure impact.
- Cross-Functional Influence - Serve as the strategic data science partner to leaders across Marketing, Product, and Finance. Communicate complex findings clearly and concisely to drive alignment and action
- Data Infrastructure & Governance - Partner with data engineering and platform teams to ensure reliable, scalable data pipelines and tracking instrumentation are in place. Champion data hygiene and integrity.
- Insights at Scale - Create dashboards, visualizations, and self-serve tools to democratize access to insights across cross-functional teams and leadership.
Qualifications
- 7+ years of experience in data science, with a proven record of applying advanced analytical methods to drive product and business growth ideally in Saas or financial technology companies serving consumer or SMBs
- Demonstrated proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design
- Strong business acumen, excellent communication and storytelling skills with a track record of effectively simplifying the complex and delivering compelling narratives to stakeholders at all levels through data-driven insights
- Advanced skills in SQL, Python, and other analytical tools, with practical experience using data visualization platforms (e.g., Tableau, Qlikview) to communicate insights; Experience with data integration and pipeline development is a plus
- Experience using statistics and machine learning techniques to solve complex business problems within product marketing, e.g., product funnel optimization, propensity for feature adoption, next best action models etc.
- M.S. or Ph.D. in a quantitative field (e.g., Statistics, Computer Science, Economics, Mathematics, Operations Research) or equivalent work experience
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will 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. The expected base pay range for this position is:
