Senior Data Scientist

Join the Intuit Customer Success team as a Senior Data Scientist within our Expert Network. In this role, you will help drive the AI strategy for our product support and live experiences. You’ll be a key member in optimizing our greatest resource, our people, through innovating, experimenting, learning, and scaling AI-driven solutions.

In this role you will bring cutting-edge data science techniques to influence our Customer Success strategy and drive business growth at scale. You will partner directly with cross-functional teams-across Product Management, Engineering, Data, Customer Success, and Service Delivery-to architect the analytical frameworks and modeling solutions that drive our Expert Network and our AI Driven platform.

This role requires a foundation in statistical methods, machine learning, experimentation design, and causal inference, coupled with a demonstrated ability to lead with influence, navigate ambiguity, and execute with precision.

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.

Strategic Influence: Demonstrate extreme ownership across cross-functional initiatives, influencing product vision and delivering measurable impact through analytics innovation.

Data Science, Product Support, Data Science, Artificial Intelligence (AI), Cross-Functional, Product Management, Service Delivery, Business Growth, Architectural Analysis, Product Engineering, Master’s degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative field.

4+ 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 to accelerate insights

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.

The expected base pay range for this position is:

San Diego $149,500 - $202,500

Mountain View, CA $162,500- $220,000