Overview
The Global Business Solutions Group (GBSG) Product Growth team is dedicated to accelerating business outcomes through a data-driven focus on product funnel optimization. Our team unites talented professionals to execute rapid experiments, perform deep analytics, and foster cross-functional collaboration-all to uncover and scale high-impact growth opportunities. As a Sr. Staff Data Scientist, you will operate as a senior individual contributor, working closely with peers and leaders to identify, execute, and refine growth initiatives. Your analytical expertise-particularly in causal inference-will be key in extracting critical insights and shaping actionable hypotheses that drive customer and business success.
What you'll bring
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
How you will lead
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.
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.