Sr. Staff Data Scientist - GBSG Product Growth

Intuit Inc.; Mountain View (CA); On-site; USD 211,000 - 285,000; Full time

Job summary

Intuit Inc. in Mountain View is seeking a Senior Staff Data Scientist to accelerate growth through data-driven, product-led insights and rigorous experimentation.

You will partner with peers and leaders to surface critical insights and translate them into actionable hypotheses that drive customer value and revenue growth. You will lead analytics, design experiments, and collaborate with Product, Engineering, and Design to translate data insights into strategic product improvements, while

Qualifications

• 8+ years of experience in data science or analytics.
• Proven skill in causal inference, statistical modeling, ML, and experimental design.
• Advanced SQL, Python, and R with data visualization tools.

Responsibilities

• Set technical vision and strategy for growth-focused data science initiatives.
• Design and analyze experiments to validate growth hypotheses.
• Collaborate with Product, Engineering, and Design to translate insights into product improvements.
• Mentor teammates and promote rigorous analytics and causal methods.
• Improve instrumentation, data quality, and logging for better analytics.

Skills

Causal inference

Statistical modeling

Machine learning

Experimental design

Communication

SQL

Python

R

Tools

SQL

Python

R

Tableau

Power BI

Job description

The Global Business Solutions Group (GBSG) Product Growth team is dedicated to accelerating business outcomes through a data-driven, product-led approach to growth. We leverage Product-Led Growth tactics, scalable growth loops, and rigorous experimentation to uncover and amplify the highest-impact opportunities across the product ecosystem. Our team unites exceptional talent across disciplines to execute rapid tests, conduct deep analytics, and foster cross-functional collaboration that drives both customer value and business performance.

As a Senior Staff Data Scientist, you will operate as a senior individual contributor, partnering closely with peers and leaders to identify, validate, and refine innovative growth strategies. Your expertise will be instrumental in surfacing critical insights and translating them into actionable hypotheses that fuel sustained customer and revenue growth.

Responsibilities

Set Technical Vision and Strategy:

• Contribute to and help refine a data science roadmap aimed at driving product funnel optimization and scalable growth initiatives.
• Apply rigorous causal inference methods, advanced statistical modeling, and machine learning techniques to turn complex data into actionable insights.

Drive Deep Analytics & Experimentation:

• Develop an integrated view of the customer journey across various business metrics, quickly familiarizing yourself with new areas to pinpoint growth opportunities.
• Design, implement, and analyze targeted experiments to validate hypotheses, ensuring each initiative is built on data-driven insights and sound causal analysis.

Collaborate Across Functions:

• Work closely with Product, Engineering, Design, and other cross-functional teams to translate data insights into strategic product enhancements.
• Support ongoing improvements in instrumentation, data quality, and logging practices to enrich our analytical capabilities and understanding of customer behavior.

Lead by Example:

• Serve as a technical leader within the Product Growth team, championing analytical rigor and innovative problem‑solving approaches.
• Mentor and collaborate with colleagues by sharing best practices in causal inference and advanced analytics, thereby strengthening our overall growth framework.

Operate with Agility and Impact:

• Rapidly assimilate diverse business metrics and data sources to uncover insights and propose high‑impact hypotheses.
• Balance rigorous technical analysis with swift, iterative execution to ensure that insights are quickly transformed into effective strategies.

Qualifications

Experience & Expertise:

• 8+ years of experience in data science or analytics, with a proven record of applying advanced analytical methods to drive product and business growth.
• Demonstrated proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design.

Technical Proficiency:

• Advanced skills in SQL, Python, R, and other analytical tools, with practical experience using data visualization platforms (e.g., Tableau, Power BI) to communicate insights.
• Experience with data integration and pipeline development is a plus.

Cross-Functional Collaboration & Leadership:

• Strong ability to quickly understand new business areas, mastering the essential data and metrics needed for informed decision‑making.
• Excellent communication and storytelling skills, with a track record of effectively influencing both technical and non‑technical stakeholders through data‑driven insights.

Mindset & Attributes:

• A relentless focus on customer centricity, with deep empathy and a commitment to uncovering opportunities that improve customer experiences.
• An agile, entrepreneurial mindset, capable of balancing long‑term strategic initiatives with rapid, iterative experimentation.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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:
Mountain View $210,500 - $284,500