Principal Data Scientist, Growth

Overview The Global Business Solutions Group (GBSG) Product Growth team represents a new approach to accelerating business outcomes through a data-driven and surgical focus on product funnel optimization. We are building a center of excellence that brings together world-class talent to drive rapid experiments, deep analytics, and cross-functional collaboration, all aimed at uncovering and scaling growth opportunities. As a Principal Data Scientist, you will operate at a senior technical level as an individual contributor, partnering closely with peers and leaders alike to identify, execute, and iterate on high-impact growth initiatives. Your role is pivotal in leveraging advanced data science techniques, including causal inference-to unlock critical insights and propose actionable hypotheses that rally the team and drive measurable customer and business outcomes. What you'll bring + Experience & Expertise: + 10+ years of experience in data science or analytics, with a strong track record in applying advanced analytical methods to drive product and business growth. + Demonstrated expertise in causal inference techniques, statistical modeling, machine learning, and experimental design. Technical Proficiency: + Advanced proficiency in SQL, Python, R, and other analytical tools, with hands-on experience in leveraging data visualization platforms (e.g., Tableau, Power BI) to communicate insights effectively. + Proven ability to quickly jump into new business areas, mastering the key data and metrics to inform decision-making. Cross-Functional Collaboration & Leadership: + Strong communication and storytelling skills, with a history of influencing both technical and non-technical stakeholders through data-driven insights. + 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. How you will lead + Set Technical Vision and Strategy: + Define and execute a data science roadmap that drives product funnel optimization and scalable growth initiatives across diverse business areas. + Utilize rigorous causal inference techniques, advanced statistical modeling, and machine learning to extract actionable insights from complex datasets. Drive Deep Analytics & Experimentation: + Develop a comprehensive, end-to-end data view of the customer experience, quickly mastering different areas of the business to identify new opportunities for growth. + Design, implement, and analyze rapid experiments to validate hypotheses, ensuring every initiative is grounded in data-driven insights and robust causal analysis. Collaborate Across Functions: + Partner closely with Product, Engineering, Design, and other cross-functional teams to integrate data insights into actionable product strategies and improvements. + Support improvements in instrumentation, data quality, and logging to enhance analytical capabilities and drive deeper understanding of customer behavior. Lead by Example: + Serve as a technical leader within the Product Growth team, setting the gold standard for analytical rigor and innovative problem-solving. + Share expertise and best practices in causal inference and advanced analytics, mentoring team members and contributing to the broader growth framework at Intuit. Operate with Agility and Impact: + Quickly assimilate and leverage various business metrics and data sources to uncover new insights and propose high-impact hypotheses. + Balance deep technical work with rapid execution, ensuring insights are translated into effective strategies that deliver tangible results. 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.