Intuit is seeking a Staff Data Scientist to join their Money Data Science Team to drive growth across their fast money and consumer lending products by applying advanced econometric modeling, causal inference, and experimental design to inform product, marketing, and business strategies.
Requirements
- Demonstrated expertise in causal inference—including but not limited to advanced experimentation, synthetic controls, regression discontinuity, and instrumental variables—with a track record of rigorously solving problems with these methods.
- Applied experience leveraging machine learning—including but not limited to predictive forecasting, explainable ML, and end-to-end model pipeline development—to drive meaningful business impact
- Proficiency in SQL and a statistical programming language such as Python and/or R.
- At least 5 years of experience applying statistical / econometric and modeling skills in decision making.
- Experience with predictive analytics and modeling
- Experience with machine learning
- Experience with data science
Responsibilities
- Define KPIs and Success Metrics: Establish key business indicators for projects, ensuring alignment with company objectives and clear measures of success.
- Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact.
- Experimentation: Design, implement, and analyze experiments and quasi-experiments to measure the impact of new initiatives in product and marketing.
- Predictive Analytics and Modeling: Develop predictive models and methodologies to uncover growth opportunities and support long-term business planning.
- Communication: Translate complex technical findings into clear, actionable insights for senior leadership, including product, finance, and marketing executives.
- Leadership and Ownership: Demonstrate boundaryless leadership and extreme accountability - proactively drives outcomes across teams and leads with influence, not authority.
- Team Development: Serve as the technical lead for cross-team data science projects, ensuring best practices and mentoring junior data scientists
Other
- Bachelor's degree in Statistics, Economics, Computer Science or a related quantitative field is required.
- Advanced degrees, particularly a Master's or PhD in economics or statistics, are highly desirable.
- Excellent communication skills and the ability to work effectively with both technical and non-technical colleagues.
- A demonstrated ability to navigate through ambiguity and deliver results that significantly impact the business.
- Ability to work effectively with senior leadership, including product, finance, and marketing executives.
