Senior Data Scientist

Qualifications

• 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.
• Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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. The expected base pay range for this position is: