[Remote] Principal Data Scientist, Expert Network

Note: The job is a remote job and is open to candidates in USA. Intuit is a leading financial software company, and they are seeking a Principal Data Scientist within their Expert Network. In this role, you will shape the AI strategy for product support and live experiences, optimizing resources through innovative AI-driven solutions and collaborating with cross-functional leaders to drive business growth. Responsibilities • Advanced Predictive Modeling & Machine Learning: 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 • Experimentation Science & Design: 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 • Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact • Metric Design & Impact Attribution: Define and evolve success metrics using state-of-the-art measurement frameworks, ensuring that business KPIs are both predictive and causally informative • Communication: Deliver compelling, data-driven narratives to VP and Director stakeholders; distill complex findings into clear, actionable strategy recommendations with quantified business impact • ML Engineering & Native AI: Collaborate with the Central AI team to productionalize models that enhance personalization and automation throughout the user experience • Thought Leadership & Mentorship: 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 • Strategic Influence: Demonstrate extreme ownership across cross-functional initiatives, influencing product vision and delivering measurable impact through analytics innovation Skills • Master's or PhD degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative field • 10+ years of progressive experience in applied data science roles with increasing scope and complexity • 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 understanding of Generative AI and other evolving technologies. Application of GenAI at scale in a production environment • 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 • Strong communication and storytelling abilities—adept at translating sophisticated analytics into strategic guidance • Proven leadership in mentoring technical talent and driving cross-team alignment through data science innovation Benefits • Cash bonus • Equity rewards • Benefits Company Overview • Intuit provides financial software solutions to empower individuals and businesses. It was founded in 1983, and is headquartered in Mountain View, California, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship • Intuit has a track record of offering H1B sponsorships, with 693 in 2025, 550 in 2024, 586 in 2023, 842 in 2022, 773 in 2021, 514 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job