Intuit's Global Business Solutions Group (GBSG) Product Data Science team is looking to accelerate user growth and retention for their "Done for you" (DFY) platform offerings through a data-driven approach. The Staff Data Scientist will identify, validate, and refine innovative growth strategies by leveraging expertise in causal inference and advanced analytics to surface critical insights and translate them into actionable hypotheses for sustained customer and revenue growth.
Requirements
- Demonstrated proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design
- Advanced skills in SQL, Python, and other analytical tools, with practical experience using data visualization platforms (e.g., Tableau, Qlikview) to communicate insights
- Experience using statistics and machine learning techniques to solve complex business problems within product marketing, e.g., product funnel optimization, propensity for feature adoption, next best action models etc.
- Experience with data integration and pipeline development is a plus
Responsibilities
- Translate business problems into analytical frameworks.
- Connect data across multiple functions to drive actionable recommendations and strategic growth opportunities for the DFY platform offerings
- Develop and deploy machine learning models and statistical frameworks to forecast growth, uncover patterns, and optimize decision-making across the GBSG Platform team
- Design, run, and analyze A/B tests and quasi-experiments using methodologies such as synthetic control, regression discontinuity, or propensity score matching to establish causal relationships and measure impact.
- Partner with data engineering and platform teams to ensure reliable, scalable data pipelines and tracking instrumentation are in place.
- Create dashboards, visualizations, and self-serve tools to democratize access to insights across cross-functional teams and leadership
Other
- 7+ years of experience in data science, with a proven record of applying advanced analytical methods to drive product and business growth ideally in Saas or financial technology companies serving consumer or SMBs
- Strong business acumen, excellent communication and storytelling skills with a track record of effectively simplifying the complex and delivering compelling narratives to stakeholders at all levels through data-driven insights
- S. or Ph.D. in a quantitative field (e.g., Statistics, Computer Science, Economics, Mathematics, Operations Research) or equivalent work experience
