Are you a visionary problem solver passionate about leveraging data to drive business performance, create lasting impact, and shape strategic direction? Do you thrive in a dynamic environment where you can innovate and build solutions from the ground up? If so, Intuit—driven by its values of Integrity Without Compromise and Customer Obsession—is seeking a talented and entrepreneurial Staff Data Scientist to help reimagine the future of our Expert Network.

As part of the ICS Network Topology and Long-Term Planning team within Intuit’s Expert Network, you will play a critical role in advancing workforce strategy, implementing intelligence-led solutions, and enabling Intuit to scale operations with agility, precision, and resilience.

As Intuit’s Expert Network continues to expand in scale and complexity, your work will help ensure intentional allocation of the right labor models, partners, and geographies to meet customer needs. You’ll develop data-driven strategies and build predictive models to optimize cost, flexibility, and continuity, while collaborating cross-functionally with teams such as Workforce Management (WFM), Expert Sourcing & Partnerships (ESP), and Finance.

Using state-of-the-art data science techniques, you will integrate intelligence into every aspect of workforce planning to solve complex challenges and create actionable insights that align with Intuit’s long-term business objectives.

At Intuit, we don’t just build products—we empower people and businesses to prosper. Guided by our core values of Integrity Without Compromise and Customer Obsession, we foster an environment where trust, innovation, and excellence thrive.

As part of the ICS Network Topology and Long-Term Planning team, you will have the chance to shape the future of workforce planning and strategy at a global scale while directly supporting millions of customers and experts worldwide.

If you have a passion for solving complex, high-impact problems, driving data-driven innovation, and influencing strategy within a highly collaborative environment, we want to hear from you. Help us build the future of data science solutions that transform the way we power prosperity.