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.

Responsibilities

• Develop and execute the Expert Network topology strategy, including site selection, workforce sourcing, labor allocation, and partner selection.
• Analyze global labor markets to identify the best geographic locations for future investments and workforce optimization.
• Conduct cost-benefit analyses, operational performance assessments, and workforce modeling to ensure scalable and efficient operations.
• Partner with cross-functional teams to design a workforce strategy that balances cost, flexibility, customer experience, and productivity.
• Evaluate the performance of various labor models (e.g., onshore, offshore, nearshore) and align them with organizational objectives.
• Build predictive models and apply advanced analytics to enable intelligence-driven decisions for long-term workforce planning.
• Develop data-driven frameworks to guide footprint planning for agility, resilience, and scalability.
• Clearly communicate insights and recommendations using narrative storytelling and data visualizations, ensuring alignment across all levels of the organization.

Qualifications

• Data Science Expertise: Proven hands-on experience in data science, predictive modeling, and data-driven decision-making methodologies.
• Strategic Thinker: Ability to identify opportunities, design solutions, and connect complex systems to address both short-term and long-term workforce challenges.
• Innovative Problem Solver: Entrepreneurial mindset with a track record of building scalable solutions from scratch in dynamic environments.
• Industry Knowledge: Advanced understanding of labor market trends, global workforce dynamics, and workforce optimization strategies.
• Technical Skills: Proficiency in analytics tools such as Python, SQL, R, Tableau, or similar platforms for data analysis and visualization.
• Education: Bachelor’s degree in Data Science, Business, Engineering, or a related field; an advanced degree is preferred.
• Experience: 7+ years in data science, workforce planning, or operational strategy, preferably within call center or service environments.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will 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: $179,000 - $252,000