Staff Data Scientist

Company Overview

Job Overview

We are seeking a Staff Data Scientist to join our Commercialization Data Science organization. This role is built for a strategic, business-oriented expert who thrives at the intersection of ecosystem growth, customer unit economics, and cross-functional influence. You will be the an architect of data-driven strategies focused on deepening customer penetration across our suite of products and maximizing long-term retention.

You will partner with leaders across Product, Marketing, Sales, Finance, and Data Engineering to transform complex customer behaviors into actionable commercial strategies. Your work will bridge the gap between raw behavioral data and high-level ecosystem health, ensuring our product stories are backed by rigorous causal inference and predictive modeling.

Responsibilities

• Drive Ecosystem Strategy: Set the analytical direction for how we deepen customer engagement. You will define the frameworks that determine how we move a customer from a single-point solution to a fully integrated multi-product user.
• Ecosystem Penetration & Retention: Own complex problem spaces regarding customer stickiness. Develop retention frameworks that move beyond what happened to why it happened and how to prevent it.
• Commercialization Frameworks: Invent and scale novel methodologies to measure the ecosystem multiplier effect, quantifying how product adoption sequences impact total Lifetime Value (LTV).
• Causal Inference & Experimentation: Lead the design of complex experiments and observational studies to validate commercial hypotheses. You will guide the team on how to move from correlation to causation when analyzing customer upgrade paths and cross-sell triggers.
• Strategic Thought Partnership: Serve as a core advisor to executive leadership, influencing investment trade-offs between new customer acquisition and existing customer expansion through clear articulation of risks, ROI, and strategic implications.
• Technical Mentorship: Multiply your impact by raising the bar for analytical rigor. You will set the standards for how the Commercialization team approaches data storytelling, ensuring insights are both technically sound and commercially resonant.

Qualifications

• 8+ years of experience in data science, strategy, or qualitative research roles. Experience in consulting or a strategy-focused capacity is a plus.

• Technical proficiency in SQL, Python, GitHub, and Databricks. Experience with BI tools (Tableau, Qlik Sense) is a plus.

• Strong track record of hypothesis generation and translating insights into data-driven execution with measurable impact on strategic roadmaps. Experience building models, analyzing experimentation, applying research, and financial modeling to iterate on learning plans.

• Strong understanding of A/B testing and causal inference principles, with the ability to guide teams on interpretation, limitations, and strategic implications.

• Exceptional communication skills, with the ability to influence executives and collaborate effectively across technical and non-technical teams.

• Ability to thrive in ambiguity and connect data to strategic clarity.

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