Senior Staff Data Scientist, Product Growth & Experiments

Intuit Inc.; United States; On-site; USD 211,000 - 285,000; Full time

Job summary

Intuit Inc. is seeking a Senior Staff Data Scientist to drive growth through data‑driven product analytics and rigorous experimentation. You will partner with product, engineering, and design teams to translate insights into strategic product improvements and measurable business outcomes.

The role emphasizes leadership, mentorship, and a strong foundation in causal inference, statistical modeling, and ML. Expect an entrepreneurial, agile environment with a focus on customer value and revenue

Qualifications

• 8+ years of experience in data science or analytics.
• Proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design.

Responsibilities

• Set Technical Vision and Strategy: refine data science roadmap for product funnel optimization and scalable growth initiatives.
• Apply rigorous causal inference methods and advanced modeling to turn data into actionable insights.
• Drive Deep Analytics & Experimentation: create unified view of customer journey and design/analyze targeted experiments.
• Collaborate Across Functions: translate insights into strategic product enhancements with cross-functional teams.
• Lead by Example: mentor colleagues, share best practices in causal inference and advanced analytics.

Skills

Causal inference

Statistical modeling

Machine learning

Experimental design

Communication

Leadership

Tools

SQL

Python

R

Tableau

Power BI

Job description

Intuit Inc. is seeking a Senior Staff Data Scientist to drive growth through data‑driven product analytics and rigorous experimentation. You will partner with product, engineering, and design teams to translate insights into strategic product improvements and measurable business outcomes.

The role emphasizes leadership, mentorship, and a strong foundation in causal inference, statistical modeling, and ML. Expect an entrepreneurial, agile environment with a focus on customer value and revenue