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# Senior Data Scientist

- **Company:** Intuit Inc.
- **Location:** San Diego, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Data Visualization, Python (Programming Language), Machine Learning, SQL Databases, Tableau (Software), Deep Learning, Generative AI, Information Technology, Data Analytics, Qlikview
- **Published:** June 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=56353f45fe04818c

## About the Role

Do you have experience in Research project design?, Do you have a Master's degree?, 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., 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.

## Description

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., 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.


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