Staff Data Scientist, Growth & Product Analytics

Intuit, Inc.; Mountain View (CA); On-site; USD 194,000 - 263,000; Full time

Job summary

Intuit, Inc. in Mountain View seeks a Staff Data Scientist to lead data-driven growth initiatives. You will partner with Product Growth and cross-functional teams to identify and validate growth opportunities using causal inference and advanced analytics.

You will design experiments, refine the analytics roadmap, and ensure robust data instrumentation. Strong communication and leadership will help translate insights into product improvements that accelerate customer value and revenue.

Qualifications

• 5+ years in data science or analytics driving growth.
• Strong proficiency in causal inference, modeling, ML, and experimental design.
• Advanced SQL, Python, R; experience with data visualization tools.
• Ability to communicate with both technical and non-technical stakeholders.
• Customer-centric and entrepreneurial mindset.

Responsibilities

• Refine data science roadmap for funnel optimization and scalable growth.
• Apply causal inference, statistical modeling, ML, and experiments to derive actionable insights.
• Design and analyze experiments to validate hypotheses with data-driven basis.
• Collaborate with Product, Engineering, Design to translate insights into product improvements.
• Improve instrumentation, data quality, and logging to enhance analytics.

Skills

Causal inference

Statistical modeling

Experiment design

Data storytelling

Cross-functional collaboration

Tools

SQL

Python

R

Tableau/Power BI

Job description

Intuit, Inc. in Mountain View seeks a Staff Data Scientist to lead data-driven growth initiatives. You will partner with Product Growth and cross-functional teams to identify and validate growth opportunities using causal inference and advanced analytics.

You will design experiments, refine the analytics roadmap, and ensure robust data instrumentation. Strong communication and leadership will help translate insights into product improvements that accelerate customer value and revenue.