Intuit · 23 hours ago
Senior AI Scientist
Intuit is seeking an innovative and hands-on Senior AI Scientist to join the Ops Science team. The role involves building and deploying models that solve complex resource allocation, forecasting, and scheduling challenges, while partnering closely with product managers and software engineers.
AccountingFinancial ServicesFinTechPaaSSoftware
Responsibilities
End-to-End Modeling: Perform hands-on data analysis and modeling with massive datasets. Discover data sources, build your own ETL pipelines to clean/import data, and make them "model-ready."
Advanced Algorithm Development: Apply data mining, NLP, and machine learning (supervised and unsupervised) to improve relevance and personalization
Optimization & Forecasting: Design and implement algorithms for complex operational problems, including demand forecasting, capacity planning, and resource scheduling
Experimentation: Work side-by-side with cross-functional teams to design A/B tests, analyze results, draw statistical conclusions, and communicate actionable insights to peers and leadership
Feature Engineering: Create and refine features from underlying data, developing the subject matter expertise required to build intuition on model performance
Innovation: Explore new design shifts and technology trends (such as GenAI or Reinforcement Learning) to determine how they can solve customer problems or improve operational efficiency
Qualification
Required
MS or PhD in a quantitative field (Computer Science, Statistics, Applied Math, Operations Research, Physics, etc.)
4+ years of industry experience with Data Science/AI (or 2+ years with a PhD)
Strong proficiency in Python or R, with expertise in modern analytical libraries (e.g., scikit-learn, pandas, numpy)
Proficiency in SQL and experience working with large-scale data ecosystems (Hive, SparkSQL, etc.)
Comfortable working in a Linux environment
Solid foundation in standard data mining and statistical modeling techniques: clustering, classification, regression, decision trees, neural nets, SVMs, and anomaly detection
Communication: Demonstrated ability to explain complex technical issues and trade-offs to both technical and non-technical audiences
Advanced Time Series Forecasting: Expertise in applied forecasting (ARIMA, Prophet, Neural methods) with an ability to handle sparsity, hierarchical constraints, and recurrent events to predict business volumes or attrition
Reinforcement Learning (RL): Interest or experience in RL to move from static optimization to real-time, dynamic decision-making systems
Deep Learning: Experience applying Deep Learning techniques to memory-constrained problems or complex pattern recognition
Domain Expertise: Background in Workforce Management (WFM), Supply Chain, Logistics, or Gig-Economy dynamic pricing/matching (e.g., experience at companies like Uber, DoorDash, Amazon Supply Chain, or Airline Revenue Management)
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
2026-01-22
2026-01-22
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