Intuit · 2 months ago
Senior Staff Data Scientist - Causal Inference
San Francisco, CA
Full-time
Onsite
Senior Level, Lead/Staff
$204K/yr - $276K/yr
5+ years expIntuit is building out a causal inference team and is seeking a Senior Staff Data Scientist to lead the way. This role involves driving business performance by applying advanced quantitative methods, including causal inference and machine learning, to help decision-makers shape strategy and uncover new opportunities.
AccountingFinancial ServicesFinTechPaaSSoftware
Responsibilities
A bachelor's degree in Statistics, Economics, or a related quantitative field is required. Advanced degrees, particularly a Master's or PhD in economics or statistics, are highly desirable
At least 5 years of experience applying statistical and econometric skills in decision making
Demonstrated expertise in causal inference—including but not limited to synthetic controls, regression discontinuity, and instrumental variables—with a track record of rigorously solving problems with these methods
Strong track record of applying cutting-edge econometric methods within a fast-paced, dynamic environment
A demonstrated ability to navigate through ambiguity and deliver results that significantly impact the business
Excellent communication skills and the ability to work effectively with both technical and non-technical colleagues
Proficiency in SQL and a statistical programming language such as Python and/or R
Broad influence over the Decision Science Team’s agenda and roadmap that outlines how we can use causal inference to develop capabilities that deliver hundreds of millions of dollars of business value
Set the gold standard for causal inference at Intuit
Advise and mentor other economists and data scientists on scientific best-practices and on leveraging causal inference to deliver business value
Identify quasi-experimental opportunities, conduct relevant analyses, communicate results to leadership, and collaborate with leadership to turn findings into actions
Establish processes and systems to create scalable capabilities rather than one-off analyses
Anticipate future business challenges and key questions, designing methodologies, models, and solutions to address them
Use state-of-the-art time series and forecasting techniques to integrate micro and aggregate data, developing reliable forecasting models that adequately convey uncertainty
Qualification
Required
A bachelor's degree in Statistics, Economics, or a related quantitative field is required
At least 5 years of experience applying statistical and econometric skills in decision making
Demonstrated expertise in causal inference—including but not limited to synthetic controls, regression discontinuity, and instrumental variables—with a track record of rigorously solving problems with these methods
Strong track record of applying cutting-edge econometric methods within a fast-paced, dynamic environment
A demonstrated ability to navigate through ambiguity and deliver results that significantly impact the business
Excellent communication skills and the ability to work effectively with both technical and non-technical colleagues
Proficiency in SQL and a statistical programming language such as Python and/or R
Preferred
Advanced degrees, particularly a Master's or PhD in economics or statistics, are highly desirable
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
24-7 Press Release Newswire
2026-01-11
2026-01-09
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