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Staff Data Scientist

Category Data Location San Diego, California; Mountain View, California Job ID 2025-70483
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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job 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.

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. ● 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.

Qualifications

● 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.

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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 $186,500-252,000, Southern California $179,000-242,000. This 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 fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

We use the technology for good to help small businesses and consumers.

Ercan Kaynakca Staff Data Crypto Analyst

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