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Overview

We are seeking an experienced and highly motivated Principal Data Scientist to join our Platform Data Science and Analytics team at Intuit. This role will serve as a thought leader and strategic partner to product, platform, and engineering leadership, driving unified measurement frameworks and ensuring analytics excellence across global teams. The ideal candidate will have deep expertise in data science, experimentation, and scalable measurement, as well as experience in developing evaluation frameworks for Generative AI (GenAI) and agentic workflows such as GenAI-powered digital assistants. This is a unique opportunity to shape how emerging AI capabilities are measured, optimized, and integrated into Intuit’s platform.

What you'll bring

+ Advanced degree (MS/PhD) in Statistics, Computer Science, Economics, Mathematics, or a related quantitative field.

+ 10+ years of combined academic and industry experience applying scientific methods to real-world, large-scale data problems.

+ Proven expertise in statistical analysis, experimentation design, and causal inference techniques.

+ Strong programming skills in Python or R, with proficiency in SQL (Hive/Presto/BigQuery experience preferred).

+ Demonstrated success building unified KPI frameworks, measurement pipelines, or analytics governance structures at scale.

+ Experience providing technical oversight to global analytics or data science teams.

+ Hands-on experience designing evaluation and measurement frameworks for Generative AI and agentic workflows, including conversational AI, AI assistants, and autonomous task orchestration.

+ Strong business acumen and ability to translate ambiguous questions into clear analytical frameworks, success metrics, and actionable insights.

+ Excellent communication skills with the ability to influence and collaborate effectively with senior leadership and cross-functional partners.

+ Track record of embedding analytics into product and platform decisions that drive measurable business impact.

How you will lead

+ **Strategic Alignment with Leadership** Collaborate with product, platform, and engineering leaders to align analytics priorities with platform goals, ensuring data-driven decisions inform roadmaps and investments.

+ **Unified KPI Framework** Lead the definition, consolidation, and governance of key performance indicators (KPIs) across platform workstreams, enabling consistent and transparent measurement of impact.

+ **Oversight of Global Analytics Execution** Provide technical and strategic oversight of global analytics teams (particularly in India), ensuring high-quality, timely, and aligned delivery of measurement and analytics initiatives.

+ **End-to-End Measurement Leadership** Design and implement scalable, durable measurement frameworks to evaluate platform adoption, performance, and long-term business impact.

+ **GenAI and Agentic Workflow Evaluation** Develop and lead measurement and evaluation frameworks for Generative AI systems and agentic workflows, including GenAI-powered digital assistants, retrieval-augmented generation (RAG), and autonomous task execution. Define success metrics that capture quality, accuracy, trust, customer experience, and business value of AI-driven interactions.

+ **Cross-Functional Collaboration** Act as the central analytics partner across Product, Design, Engineering, and Data teams, ensuring analytics and insights are integrated into decision-making at every stage of the product lifecycle.

+ **Experimentation and Advanced Methods** Guide experiment design and advanced analytical methods to evaluate platform enhancements, including causal inference techniques, attribution frameworks, and robust A/B testing.

+ **Data Stewardship and Best Practices** Champion sustainable practices in data quality, reporting, and documentation, ensuring long-term maintainability and scalability of analytics infrastructure.

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.