Data Scientist

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Come join the Global Business Solutions Group (GBSG) Product Data Science team as a Staff Data Scientist. The Data Science team plays a critical role in shaping strategy, scaling new businesses, and delivering delightful customer experiences. Our mission is to accelerate decision‑making through advanced models, insights, and experimentation that address our most important customer and business challenges.

We are seeking a Staff Data Scientist to deliver impactful models and insights, and drive measurable outcomes for the Workforce Solutions segment within Quick Books.

• Drive Business Strategy through Data – Translate business problems into analytical frameworks. Provide guidance and support leadership on how best to harness available data in support of critical business needs and goals.
• 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.

• 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 consumers 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.
• MS. 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:

Bay Area California: $186,500 – $252,000
Southern California: $179,000 – $242,000

• Mid‑Senior level

• Full‑time

• Engineering and Information Technology

• Software Development