Intuit is seeking a Staff Data Scientist to help reimagine the future of its Expert Network by advancing workforce strategy, implementing intelligence-led solutions, and enabling Intuit to scale operations with agility, precision, and resilience as the network expands in scale and complexity. The role aims to ensure intentional allocation of the right labor models, partners, and geographies to meet customer needs, while optimizing cost, flexibility, and continuity.
Requirements
- Proven hands-on experience in data science, predictive modeling, and data-driven decision-making methodologies.
- Proficiency in analytics tools such as Python, SQL, R, Tableau, or similar platforms for data analysis and visualization.
- Advanced understanding of labor market trends, global workforce dynamics, and workforce optimization strategies.
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.
- 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.
- Evaluate the performance of various labor models (e.g., onshore, offshore, nearshore) and align them with organizational objectives.
- Clearly communicate insights and recommendations using narrative storytelling and data visualizations, ensuring alignment across all levels of the organization.
Other
- Visionary problem solver passionate about leveraging data to drive business performance, create lasting impact, and shape strategic direction.
- Thrive in a dynamic environment where you can innovate and build solutions from the ground up.
- 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.
- 7+ years in data science, workforce planning, or operational strategy, preferably within call center or service environments.
