Intuit Senior Staff Data Scientist 

United States, California, San Diego 

584190853

Set Technical Vision and Strategy:

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

Drive Deep Analytics & Experimentation:

• Develop an integrated view of the customer journey across various business metrics, quicklyfamiliarizing yourself with new areas to pinpoint growth opportunities.
• Design, implement, and analyze targeted experiments to validate hypotheses, ensuring eachinitiative 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 translatedata insights into strategic product enhancements.
• Support ongoing improvements in instrumentation, data quality, and logging practices to enrichour analytical capabilities and understanding of customer behavior.

Lead by Example:

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

Operate with Agility and Impact:

• Rapidly assimilate diverse business metrics and data sources to uncover insights and proposehigh-impact hypotheses.
• Balance rigorous technical analysis with swift, iterative execution to ensure that insights arequickly transformed into effective strategies.

Experience & Expertise:

• 8+ years of experience in data science or analytics, with a proven record of applying advancedanalytical 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 usingdata 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 andmetrics needed for informed decision-making.
• Excellent communication and storytelling skills, with a track record of effectively influencing bothtechnical and non-technical stakeholders through data-driven insights.

Mindset & Attributes:

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