Staff Data Scientist, Expert Experiences jobs in United States
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Intuit · 3 hours ago

Staff Data Scientist, Expert Experiences

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. We are seeking a Staff Data Scientist to join the Intuit Customer Success Data Science & Analytics team supporting Expert Experiences and Intuit Academy. This role is focused on setting the analytical bar for high-impact, decision-critical work that informs training effectiveness, expert readiness, and customer success outcomes.

AccountingFinancial ServicesFinTechPaaSSoftware
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Lead the framing of ambiguous, high-impact business problems into clear analytical hypotheses, causal frameworks, and success metrics
Set and reinforce standards for analytical rigor, assumption validation, internal review, and 'definition of done.'
Serve as a technical role model by producing bar-setting analyses that others can learn from and calibrate against
Own complex, end-to-end analytical initiatives, including data exploration, validation, feature engineering, statistical modeling, causal inference, and interpretation
Apply advanced statistical, experimental, and machine learning techniques to understand drivers of expert performance, learning outcomes, and customer experience
Design and review experimentation strategies (A/B tests, pilots, quasi-experiments) to ensure methodological soundness and business relevance
Synthesize complex findings into clear, compelling narratives that influence senior stakeholders and inform product, program, and operational decisions
Act as a trusted advisor by surfacing tradeoffs, risks, and implications—not just results
Partner cross-functionally to align on metrics definitions, assumptions, and interpretation before analysis is shared broadly
Develop reusable analytical frameworks, standardized metrics, and reference implementations that scale quality across the team
Guide the development of dashboards, reporting pipelines, and measurement systems in partnership with Data Engineering and Analytics
Improve analytical maturity across the org by reducing rework, catching issues earlier, and enabling others to deliver higher-quality outputs

Qualification

Data ScienceSQLCausal InferenceMachine LearningData StorytellingBusiness AcumenLeadershipCommunication SkillsAdaptability

Required

7+ years of experience in data science or analytics roles, preferably in product, web, customer care, or customer experience analytics
Advanced proficiency in SQL and experience working with large-scale data platforms (e.g., Spark, Databricks, BigQuery, Redshift)
Strong experience with experimentation and causal inference (e.g., A/B/n testing, applied causal methods), with excellent judgment on when and how to apply them
Familiarity with AI/ML and GenAI-enabled analytics, and the ability to reason about implications for measurement, experimentation, and user behavior
Demonstrated ability to lead through influence, not authority—guiding analytical direction, standards, and decisions across teams
Strong business acumen and ability to translate strategy into testable hypotheses and actionable insights
Excellent data storytelling and communication skills, with the ability to influence both technical and non-technical audiences
Comfortable operating in fast-paced, ambiguous environments, balancing rigor with pragmatism

Benefits

Cash bonus
Equity rewards
Benefits

Company

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 Company
Total Funding
$8.52B
Key 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

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Sasan Goodarzi
Chief Executive Officer
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Alex Balazs
Chief Technology Officer
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Company data provided by crunchbase