Job Description

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.

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