Intuit is seeking a Senior Staff Data Scientist to drive end-to-end product innovation and personalization across the TurboTax conversion funnel through advanced analytics and machine learning.
Requirements
Proven experience applying state-of-the-art machine learning and causal inference methodologies in high-impact, product-facing applications.
Expert-level proficiency in SQL as well as Python or R
Demonstrated success integrating ML models into production environments, especially within personalization, recommendation, or AI-assisted UX.
Deep knowledge of experimental design, including non-standard A/B testing methods, uplift modeling, and sequential testing frameworks.
Hands-on experience with data visualization tools like Tableau or Qlik.
Proven leadership in mentoring technical talent and driving cross-team alignment through data science innovation.
Responsibilities
Design, build, and deploy scalable models—including ensemble methods, time-series forecasting, LTV modeling, deep learning architectures, and uplift modeling—to uncover high-impact growth opportunities and drive personalization.
Own the end-to-end experimentation pipeline—from hypothesis generation and design (e.g., CUPED, multi-armed bandits, Bayesian Inference) to rigorous causal interpretation and impact quantification.
Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact.
Embed deeply with TurboTax product teams to proactively identify friction points and shape roadmap priorities using granular funnel diagnostics, behavioral clustering, and AI-powered customer journey optimization.
Define and evolve success metrics using state-of-the-art measurement frameworks, ensuring that business KPIs are both predictive and causally informative.
Collaborate with the Central AI team to productionalize models that enhance personalization and automation throughout the TurboTax user experience.
Mentor senior data scientists and establish best practices in experimental design, model validation, and responsible AI usage; drive a culture of analytical excellence and scientific rigor.
Other
Deliver compelling, data-driven narratives to VP and Director stakeholders; distill complex findings into clear, actionable strategy recommendations with quantified business impact.
Demonstrate extreme ownership across cross-functional initiatives, influencing product vision and delivering measurable impact through analytics innovation.
Strong communication and storytelling abilities—adept at translating sophisticated analytics into strategic guidance.
