**Overview** We are seeking an experienced Staff Data Scientist to join our TurboTax Data Science Team, with a focus on driving product innovation and personalization across the conversion funnel. This is a high-impact role where you will work directly with business partners to inform product development, feature prioritization, and user experience improvements. As a Staff Data Scientist, you will act as a strategic analytics partner to product, design, engineering, and marketing leaders — applying rigorous, data-driven insights to shape the evolution and performance of TurboTax's top-of-funnel experience. You’ll lead initiatives that leverage advanced statistical approaches using behavioral data, user segmentation, experimentation (A/B testing), and other causal inference methods to uncover growth opportunities, improve key user flows, and enhance the end-to-end customer experience. This is a unique opportunity to apply your top notch data science expertise and product intuition to shape the experiences that empower millions of users on their financial journey. **What you'll bring** + A bachelor's degree in Data Science, Statistics, Economics, or a related quantitative field is required. Advanced degree preferred. + At least 7-10 years of progressive experience in a Data Science role. + Proven track record of excellent communication skills: clearly articulating complex concepts to both technical peers and non-technical stakeholders, fostering understanding and collaboration with every interaction. + 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 supporting AI-driven user experiences. + A demonstrated ability to navigate through ambiguity and deliver results that significantly impact the business. + Proficiency in SQL and a statistical programming language such as Python and/or R. Experience with Tableau or Qlik required. **How you will lead** + **Predictive Analytics and Modeling** : Develop predictive models and methodologies to uncover growth opportunities and support long-term business planning. + **Experimentation** : Design, implement, and analyze experiments to measure the impact of new initiatives leveraging Bayesian Inference and CUPED. + **Causal Inference** : Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. + **Define KPIs and Success Metrics** : Establish key business indicators for projects, ensuring alignment with company objectives. + **Communication** : Translate complex technical findings into clear, actionable insights for senior leadership, including product, finance, and marketing executives. + **Mentorship** : Mentor junior team members and help shape the team's analytical rigor and methodology standards. + **Native AI** : Partner closely with our Central AI team to productionalize ML models that drive delightful, personalized experiences for our customers. + **Leadership and Ownership** : Demonstrate extreme accountability and proactively drive outcomes across teams and leads with influence, not authority. EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.