Staff Data Scientist - Data Foundations

Overview
Join the Intuit Customer Success Data Science & Analytics team as a Staff Data Scientist focused on building the Data foundations. In this role, you will support and enhance an advanced data toolkit for our analytics community.
You will operate as both a hands-on technical leader and a strategic advisor to senior leadership. You’ll shape data foundations for Customer Success and AI strategy, architect scalable modeling frameworks, and influence decisions at the director and VP level. You’ll partner closely with data engineers, technical program managers, data scientists, product managers and architects to mature the data capabilities of Intuit’s Analytics ecosystem.
This role is for someone who thrives in ambiguity, leads independently, and builds systems that scale across teams and business units.
Responsibilities
Conceptualize business problems or opportunities, formulate hypotheses and goals, define key metrics, and make actionable recommendations.
Perform hands-on analysis and build advanced statistical and machine learning models that quantify the financial and operational impact of customer friction across segments and business units.
Develop impact sizing and prioritization frameworks that inform product roadmaps, investment decisions, and resource allocation.
Partner with senior leaders across Customer Success, Customer Experience, Product and Strategy to embed data-driven decision-making into core operating mechanisms.
Translate complex data insights into actionable recommendations for technical and non-technical stakeholders and business leaders.
Advance generative AI and automation capabilities to simplify workflows and scale insight generation across the organization.
Qualifications
BS or MS degree in Statistics, Mathematics, Computer Science, Econometrics, Operations Research, or a related quantitative field; PhD a plus.
8+ years of experience in data science, machine learning, or advanced analytics, including leading complex cross-functional initiatives with measurable business impact.
Expert-level proficiency in SQL and Python (or R), with a strong track record of building scalable, production-ready, reproducible workflows.
Deep expertise in statistical modeling, including regression, classification, clustering, ensemble methods, causal inference, and experimentation at scale.
Strong experience applying NLP and machine learning techniques to large-scale unstructured data.
Demonstrated ability to define metrics that shape business strategy and influence director- and VP-level stakeholders.
Experience driving AI or advanced analytics initiatives end-to-end — from problem framing through experimentation, measurement, and operationalization.
Proven ability to mentor others, raise technical standards, and influence cross-functional partners without direct authority.
Strong communication skills with the ability to translate complex technical concepts into clear, compelling narratives that drive executive decision-making.
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:
Bay Area California $ 186,500- 252,000
Southern California $ 179,000- 242,000