Senior Data Scientist

Overview We are seeking an experienced Senior 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 Senior Data Scientist, you will act as a strategic analytics partner to product, design, engineering, marketing, and customer success leaders — applying rigorous, data-driven insights to shape the evolution and performance of TurboTax's AI native experiences. 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. Or equivalent work experience. • 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. • 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. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is: Bay Area California $159,500.00 - 215,500.00Southern California $149,500.00 - 202,500.00This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits).Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.