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Intuit

Staff Data Scientist, Expert Network Topology

Intuit, Mountain View, California, us, 94039

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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.

What you'll bring

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.

How you will lead

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.

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.