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Intuit is seeking an experienced Senior Data Scientist to join their TurboTax Data Science Team to drive product innovation and personalization across the conversion funnel. The role aims to inform product development, feature prioritization, and user experience improvements by leveraging advanced statistical approaches and behavioral data.

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 supporting AI-driven user experiences.
• Proficiency in SQL and a statistical programming language such as Python and/or R.
• Experience with Tableau or Qlik required.
• At least 7-10 years of progressive experience in a Data Science role.
• Leverage advanced statistical approaches using behavioral data, user segmentation, experimentation (A/B testing), and other causal inference methods.

Responsibilities

• Develop predictive models and methodologies to uncover growth opportunities and support long-term business planning.
• Design, implement, and analyze experiments to measure the impact of new initiatives leveraging Bayesian Inference and CUPED.
• Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact.
• Partner closely with our Central AI team to productionalize ML models that drive delightful, personalized experiences for our customers.
• Translate complex technical findings into clear, actionable insights for senior leadership, including product, finance, and marketing executives.
• Apply rigorous, data-driven insights to shape the evolution and performance of TurboTax's AI native experiences.
• 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.

Other

• 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.
• A demonstrated ability to navigate through ambiguity and deliver results that significantly impact the business.
• Demonstrate extreme accountability and proactively drive outcomes across teams and leads with influence, not authority.
• A bachelor's degree in Data Science, Statistics, Economics, or a related quantitative field is required. Advanced degree preferred. Or equivalent work experience.