Staff Data Scientist, Platform Performance

We are seeking an experienced and highly motivated Staff Data Scientist to join our Platform 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 both foundational platforms and  emerging AI capabilities are measured, optimized, and integrated into Intuit’s platform.

Responsibilities

• Strategic Alignment: Partner with product, platform, and engineering leaders to align analytics and observability priorities with platform goals, enabling data-driven decisions on investments and improvements.

• Unified KPI Framework: Define, instrument, and govern key platform KPIs that measure reliability, scalability, and business impact.

• Performance Observability: Build SLA-bound dashboards, lead KPI reviews, and implement proactive alerting to ensure platform resilience and transparency.

• Cross-Analytics Collaboration: Champion platform performance insights across analytics teams (e.g., Segment, Product Analytics), ensuring consistent visibility and alignment on key metrics and outcomes.

• GenAI Measurement: Collaborate with analytics partners to define and track success metrics for Generative AI and agentic workflows, focusing on quality, trust, and customer value.

• Continuous Improvement: Drive continuous improvement initiatives, identify opportunities for optimization, and recommend data-backed experiments to enhance platform performance.

• Data Stewardship: Uphold best practices in data quality, governance, and sustainable observability infrastructure.

Qualifications

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

• 7 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.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: