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.
Responsibilities
- 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.
