Senior Staff Data Scientist, Expert Experiences jobs in United States
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Intuit · 9 hours ago

Senior Staff Data Scientist, Expert Experiences

Intuit is seeking a Senior Staff Data Scientist to enhance customer experiences through their expert services. This role involves defining and building intelligence systems to improve expert workflows and requires collaboration with various teams to shape the future of customer success.

AccountingFinancial ServicesFinTechPaaSSoftware
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Strategic Vision & Framework Development
Strategy to Problem: Demonstrate the ability to turn complex business strategy (e.g., Expert-as-Product, AI-Native Experience) into well-defined, measurable analytical problems and iteratively self-generate and validate hypotheses to create actionable insights
X-functional Influence: Combine deep insights, business acumen, and strategic considerations to influence cross-functional VPs and Directors on key investment areas and critical priorities across multiple initiatives or business units
Metric System & Causal Structure: Lead the development and implementation of a tiered metric system that maps the causal relationships between high-level business goals (e.g., efficiency, conversion) and low-level product health metrics (e.g., latency, accuracy, and coverage), leveraging Causal AI methods (like Causal Graphs) to structure and connect input metrics to outcome metrics
Advanced Causal Measurement & Modeling
Causal Measurement Strategy: Design and implement a durable strategy for measuring the causal impact of expert-facing features, with a primary focus on Customer Serving Time (CST) reduction and ensuring GenAI efficiencies are fully achieved and accurately attributed. This includes executing complex Randomized Controlled Trials (RCTs) and utilizing advanced methods like hierarchical Bayesian modeling for robust inference
Model Development & Innovation: Lead the end-to-end development of advanced analytical models, including Behavioral Modeling on clickstream data, Anomaly Detection for friction identification, and Automated Opportunity Sizing models. Apply and drive the use of advanced Causal Inference methods, including Causal Discovery and Causal Graph modeling, to answer the most complex business questions regarding efficiency attribution and metric relationship fidelity
AI Strategy Co-Creation & Guidance: Co-create the Expert Experiences AI strategy in partnership with cross-functional teams. Guide teams on the phased testing and roll-out of AI-native experiences, ensuring the right processes are in place for causal measurement
Mentorship & Stewardship
Mentorship: Actively raise the team’s technical knowledge, skill, and engagement by mentoring junior employees, documenting and sharing standards, and participating in technical forums
Data Stewardship: Deeply understand the current state, gaps, and target state of the core expert data layers, providing technical guidance to bridge known data gaps and ensuring data architecture alignment with long-term strategy

Qualification

Data ScienceCausal InferenceSQLPython/RMachine LearningStatistical ModelingGenerative AICommunicationMentorship

Required

7+ years in Data Science, applied Machine Learning, and/or advanced statistical modeling, with a focus on product or customer experience analytics
Bachelor's or Master's Degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, Operations Research, etc.)
Expert proficiency in SQL and Python/R for data analysis, modeling, and pipeline development
Deep, hands-on experience translating a business problem into a predictive/prescriptive modeling problem and leading the end-to-end model development lifecycle
Advanced knowledge and applied experience with a wide range of Causal Inference methods (including Causal Graph/Causal AI techniques) and advanced statistical methods
Experience in AI/ML, Generative AI (GenAI), and LLM integration into analysis/data workflows, including prompt optimization and fine-tuning
Proven track record of influencing Director and VP-level cross-functional partners, driving strategic decisions, and creating reusable analytical assets or frameworks that scale across business units
Outstanding communication and data storytelling skills, with the ability to articulate complex technical findings to non-technical executive audiences

Benefits

Competitive compensation package
Strong pay for performance rewards approach
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