Staff AI Scientist – Business Intelligence
Intuit · Posted Oct 8
Financial, accounting, tax preparation, and marketing automation software services
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About the role
Intuit's Business Intelligence (BI) team builds the reporting and analytics experiences that millions of QuickBooks customers and accountants rely on, including Modern Reports, Management Reports, KPI Scorecards, Dashboards, and FP&A. The team is extending these experiences with AI — conversational reporting through Omni, self-serve report building, and agentic development practices — on top of one of Intuit's largest proprietary financial datasets, with a platform built on StarRocks. As a Staff AI Scientist on BI, the role spans multiple BI workstreams such as Core Reporting, Multi-Entity/Scale, and Conversational Narrative Builder, architecting AI-native systems, evaluation frameworks, and multi-stage agent pipelines while coaching other AI Scientists and engineers.
What you will do
- Serve as a technical leader across multiple BI workstreams, influencing product and technology direction beyond a single team.
- Architect AI-first systems for BI, such as agentic reporting assistants and dimension-aware forecasting engines, including systems where LLMs orchestrate tools and skills across the BI surface area.
- Build Intuit's AI advantage in BI by deeply leveraging our proprietary financial data (tens of billions of transaction rows across millions of businesses), instituting comprehensive evaluation and monitoring across both traditional and agentic BI systems, and applying novel combinations of ML methods.
- Lead creation of reusable, versioned data and feature assets from BI's data platform (built on StarRocks) and set data-quality bars for downstream science and product work.
- Design robust evaluation strategies, including adversarial and edge-case coverage, reflecting the accuracy bar required when BI surfaces present financial figures directly to accountants and business owners.
- Architect multi-stage agent pipelines spanning the BI science lifecycle, from data preparation through experiment execution to results synthesis, that other AI Scientists across BI can build on.
- Champion responsible AI practices given the sensitivity of financial data and the accuracy required for customer- and accountant-facing insights.
- Partner with BI product, design, and engineering leadership to frame ambiguous problems, such as how conversational AI should explain multi-entity consolidated statements, and co-own end-to-end customer solutions.
- Coach and elevate other AI Scientists and engineers across BI, help them direct and orchestrate agents on real work, and identify tooling or process gaps that block productivity.
Skills used in this role
What the employer is looking for
- MS or PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, or a related field.
- 6+ years of applied ML or data science experience, including experience leading technical initiatives that span multiple teams.
- Deep, hands-on expertise across ML paradigms, including supervised and unsupervised learning, causal inference, time-series methods, and deep learning, along with applied experience designing and evaluating LLM-based and agentic systems.
- Proven experience architecting end-to-end production ML systems, from data platform integration through deployment and monitoring, ideally at large scale (billions of rows or high query volume).
- Proficient in Python, SQL, and distributed data systems such as Spark or Hive/SparkSQL, and comfortable partnering directly with data platform and data engineering teams.
- A track record of mentoring other engineers and scientists and setting technical standards across teams.
- Excellent communication skills, with the ability to influence senior stakeholders and represent technical strategy to product, design, and engineering partners.
Benefits and support
- cash bonus
- equity rewards
About Intuit
Intuit is a leading global financial technology platform that provides software solutions including TurboTax, QuickBooks, Credit Karma, and Mailchimp. The company serves consumers, small businesses, and accounting professionals with tools for tax preparation, financial management, payroll, credit monitoring, and marketing. Intuit focuses on leveraging artificial intelligence and automated workflows to fuel financial success for tens of millions of customers worldwide.
- Industry
- Financial Technology
- Company size
- 10001+ employees
- Founded
- 1983
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Leadership
Chairman & Chief Executive Officer
Executive Vice President & Chief Financial Officer
Executive Vice President & Chief Technology Officer
Executive Vice President & General Manager, Small Business & Mid-Market Group
Executive Vice President & General Manager, Consumer Group
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