Staff Data Scientist - GBSG Product Growth

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., 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.

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

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With tens of millions of customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.