Intuit Mid Market penetration through a data-driven, product-led approach to growth.
Requirements
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.
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.
Rapidly assimilate diverse business metrics and data sources to uncover insights and propose high-impact hypotheses.
Other
5+ years of experience in data science or analytics, with a proven record of applying advanced analytical methods to drive product and business growth.
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.
Bachelor’s degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Master’s Degree preferred
