Intuit · 7 hours ago
Staff Data Scientist
Mountain View, CA
Full-time
Onsite
Senior Level, Lead/Staff
$186K/yr - $252K/yr
6+ years expIntuit’s Global Business Solutions Group is dedicated to serving the needs of small businesses and self-employed customers. The Staff Data Scientist will lead the development of advanced models and analytical frameworks to support audience segmentation and personalization, driving measurable impact across customer acquisition, engagement, and retention.
AccountingFinancial ServicesFinTechPaaSSoftware
Responsibilities
Lead the design and development of advanced predictive and optimization models used across the QuickBooks marketing site and in-product surfaces to personalize experiences for prospective and existing customers, driving meaningful improvements in acquisition, engagement, and retention
Own the measurement and evaluation strategy for personalization, targeting, and growth initiatives, including defining success metrics, experimentation frameworks, and causal methodologies to quantify impact and ROI
Partner with marketing, product, and finance to evaluate ROI for new pricing, packaging, and growth strategy initiatives, providing data-driven recommendations to inform investment and prioritization decisions
Serve as the analytics and data science lead for large-scale campaigns, experiments, and cross-functional initiatives, ensuring rigorous design, execution, and interpretation of results
Influence growth and personalization strategy by translating complex analyses into clear, actionable insights and recommendations for both technical and non-technical stakeholders, including senior leadership
Set technical and analytical standards for the team by establishing best practices in modeling, experimentation, and measurement, and mentoring other data scientists to raise the overall quality and impact of work
Demonstrate strong judgment and strategic thinking, balancing short-term wins with long-term platform and capability investments, and proactively identifying new opportunities to improve customer relevance and business outcomes
Qualification
Required
MS or PhD in a quantitative field such as Statistics, Mathematics, Economics, Finance, Operations Research, Computer Science, or a related discipline, with 6+ years of hands-on experience in data science, analytics, or applied machine learning roles (or equivalent industry experience)
Deep expertise in statistical modeling and marketing measurement, with a demonstrated track record of applying these techniques to drive business impact in areas such as personalization, targeting, pricing, experimentation, or growth optimization
Strong proficiency in Python or R, and extensive experience working with large-scale data using SQL-based technologies (e.g., SQL, Hive, SparkSQL)
Solid understanding of customer lifecycle analytics, including acquisition funnels, engagement, retention, and lifetime value modeling
Advanced knowledge of machine learning and quantitative methods, including but not limited to regression, classification, clustering, time series, causal inference, econometrics, and optimization techniques
Excellent communication and storytelling skills, with the ability to translate complex analyses into clear, actionable insights for both technical and executive audiences
Demonstrated ownership and sound judgment, with the ability to independently lead ambiguous, high-impact initiatives from problem definition through execution
Preferred
Experience building or influencing personalization and targeting systems across marketing channels or in-product experiences
Hands-on experience with experimentation platforms, A/B testing, and causal inference techniques in real-world business settings
Familiarity with pricing, packaging, or growth strategy analytics in SaaS or consumer software products
Experience mentoring or technically leading other data scientists, setting best practices, and raising analytical standards across teams
Experience working in a cross-functional environment with product managers, engineers, marketers, and finance partners
Benefits
Cash bonus
Equity rewards
Benefits
Company
Intuit
Intuit provides financial software solutions to empower individuals and businesses.
10001+ employees
H1B Sponsorship
Intuit has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (693)
2024 (550)
2023 (586)
2022 (842)
2021 (773)
2020 (514)
Funding
Current Stage
Public CompanyTotal Funding
$8.52BKey Investors
JP Morgan Chase
2025-01-31Post Ipo Debt· $4.5B
2023-09-12Post Ipo Debt· $4B
2011-01-19Post Ipo Equity· $6.7M
Leadership Team
Sasan Goodarzi
Chief Executive Officer
Alex Balazs
Chief Technology Officer
Recent News
2026-01-22
2026-01-22
Company data provided by crunchbase