Staff Data Scientist

Overview
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.

ntuit 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:
Bay Area California $ 186,500- $252,000
Southern California $ 179,000- $242,000