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Intuit's Global Business Solutions Group (GBSG) Product Growth team aims to accelerate business outcomes through a data-driven, product-led approach. The Staff Data Scientist will help identify, validate, and refine innovative growth strategies using causal inference and advanced analytics to drive customer and revenue growth.

Requirements

• 5+ years of experience in data science or analytics, with a proven record of applying advanced analytical methods to drive product and business growth.
• Demonstrated proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design.
• Advanced skills in SQL, Python, R, and other analytical tools, with practical experience using data visualization platforms (e.g., Tableau, Power BI) to communicate insights.
• Experience with data integration and pipeline development is a plus.

Responsibilities

• Contribute to and help refine a data science roadmap aimed at driving product funnel optimization and scalable growth initiatives.
• Apply rigorous causal inference methods, advanced statistical modeling, and machine learning techniques to turn complex data into actionable insights.
• Develop an integrated view of the customer journey across various business metrics, quickly familiarizing yourself with new areas to pinpoint growth opportunities.
• Design, implement, and analyze targeted experiments to validate hypotheses, ensuring each initiative is built on data-driven insights and sound causal analysis.
• Work closely with Product, Engineering, Design, and other cross-functional teams to translate data insights into strategic product enhancements.
• Support ongoing improvements in instrumentation, data quality, and logging practices to enrich our analytical capabilities and understanding of customer behavior.
• Serve as a technical SME within the Product Growth team, championing analytical rigor and innovative problem-solving approaches.

Other

• Partnering closely with peers and leaders to identify, validate, and refine innovative growth strategies.
• Strong ability to quickly understand new business areas, mastering the essential data and metrics needed for informed decision-making.
• Excellent communication and storytelling skills, with a track record of effectively 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.