Intuit · 5 days ago
Principal Data Scientist, Expert Network
Intuit is seeking a Principal Data Scientist within their Customer Success team to shape the AI strategy for product support and live experiences. This role involves optimizing resources through AI-driven solutions and requires a strong foundation in statistical methods and machine learning, along with the ability to influence cross-functional teams.
AccountingFinancial ServicesFinTechPaaSSoftware
Responsibilities
Advanced Predictive Modeling & Machine Learning: Design, build, and deploy scalable models—including ensemble methods, time-series forecasting, LTV modeling, deep learning architectures, and uplift modeling—to uncover high-impact growth opportunities and drive personalization
Experimentation Science & Design: Own the end-to-end experimentation pipeline—from hypothesis generation and design (e.g., CUPED, multi-armed bandits, Bayesian Inference) to rigorous causal interpretation and impact quantification
Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact
Metric Design & Impact Attribution: Define and evolve success metrics using state-of-the-art measurement frameworks, ensuring that business KPIs are both predictive and causally informative
Communication: Deliver compelling, data-driven narratives to VP and Director stakeholders; distill complex findings into clear, actionable strategy recommendations with quantified business impact
ML Engineering & Native AI: Collaborate with the Central AI team to productionalize models that enhance personalization and automation throughout the user experience
Thought Leadership & Mentorship: Mentor senior data scientists and establish best practices in experimental design, model validation, and responsible AI usage; drive a culture of analytical excellence and scientific rigor
Strategic Influence: Demonstrate extreme ownership across cross-functional initiatives, influencing product vision and delivering measurable impact through analytics innovation
Qualification
Required
Master's or PhD degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative field
10+ years of progressive experience in applied data science roles with increasing scope and complexity
Proven experience applying state-of-the-art machine learning and causal inference methodologies in high-impact, product-facing applications
Expert-level proficiency in SQL as well as Python or R
Demonstrated success integrating ML models into production environments, especially within personalization, recommendation, or AI-assisted UX
Deep understanding of Generative AI and other evolving technologies. Application of GenAI at scale in a production environment
Deep knowledge of experimental design, including non-standard A/B testing methods, uplift modeling, and sequential testing frameworks
Hands-on experience with data visualization tools like Tableau or Qlik
Strong communication and storytelling abilities—adept at translating sophisticated analytics into strategic guidance
Proven leadership in mentoring technical talent and driving cross-team alignment through data science innovation
Benefits
Cash bonus
Equity rewards
Benefits
Company
Intuit
Intuit provides financial software solutions to empower individuals and businesses.
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
Recent News
24-7 Press Release Newswire
2026-01-11
2026-01-09
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