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Data Scientist- Expert Network Planning

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Intuit Inc.
Full Time position
Listed on 2026-03-09
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: Staff Data Scientist- Expert Network Planning

Are you a strategic, data-driven leader who enjoys solving complex, system-level problems? Do you want to shape how platforms and networks scale through advanced analytics and AI-native experiences? If so, we have an exciting opportunity for a Staff Network Capacity Planning within our Intuit Quickbooks family of products and services.

In this role, you will own network capacity planning for an end-to-end capability or a major portion of experiences within a composite application supporting millions of small business customers. You will act as a technical leader and domain expert, applying data science, systems thinking, and AI-driven insights to influence product, technology, and business decisions at scale across Intuit Quickbooks family of products and services.

You will translate business strategy into analytical problems, develop predictive models and KPI frameworks, and drive experimentation and learning at the Business Units and Intuit Group levels. You will also help define analytics and AI standards that scale across the organization.

Responsibilities
  • Own and evolve network capacity planning strategy for complex, large-scale systems within the Intuit Quickbooks family of products and services.
  • Translate business strategy into hypotheses, models, and actionable insights that inform leadership decisions. Design and analyze experiments (A/B/n, bandits, causal methods) to inform decision-making.
  • Design and maintain forecasting, capacity, and analytics models using statistical, machine learning, and causal inference methods.
  • Define KPI frameworks and success metrics at the BU and IG levels.
  • Lead end-to-end analytics initiatives, including scoping, execution, and stakeholder alignment.
  • Influence product, technology, and analytics direction as a technical leader and domain expert.
  • Ideate and influence AI-powered solutions and measurement strategies for AI-native experiences.
  • Understand AI architectures (e.g., GenOS, L
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