Senior Data Scientist

Company Overview

Job 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.

Responsibilities

• 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.

Qualifications

• 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.