Intuit is seeking to bridge the gap between raw data and high-level business application to inform critical decisions and shape the future of the company's growth
Requirements
- Strong proficiency in SQL and Python
- Experience building models and applying experimentation concepts to strategic decisions
- Strong understanding of A/B testing and causal inference principles — able to guide teams on interpretation, limitations, and strategic implications
Responsibilities
- Strategy Translation: Partner with cross-functional stakeholders to translate high-level strategic priorities into actionable data science initiatives
- Modeling & Forecasting: Build and apply models that forecast business outcomes, evaluate scenarios, and inform strategic choices
- Experimentation Strategy: Provide guidance on experimentation frameworks — advising on design considerations, interpreting results, and helping teams think critically about pricing, customer behavior, and growth experiments
- Predictive Analytics: Develop predictive models that forecast business performance and uncover new growth opportunities
- Cross-Functional Leadership: Serve as a strategic thought partner to research, marketing, finance, product, and data engineering teams, building alignment and driving data-informed decision-making
- Communication: Translate complex analysis into compelling stories and insights that resonate with senior executives and non-technical stakeholders
Other
- Bachelor’s degree in a quantitative field (Statistics, Economics, Computer Science, Data Science); advanced degree preferred
- 5+ years of experience in data science, strategy, or analytics roles, ideally including time in consulting or a strategy-focused capacity
- Exceptional communication skills, with the ability to influence executives and collaborate across technical and non-technical teams
- Ability to thrive in ambiguity and connect data to strategic clarity
