Director of AI Economic Modeling

IDC Corporate; Northern (KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

IDC is seeking a Research Director to develop quantitative models for AI Economics, focusing on AI cost and value modeling with potential to expand into broader forecasting projects.

This is a hands-on quantitative role translating questions into mathematical models, implementing and testing code, and developing reusable methods for colleagues. You’ll contribute to client discussions when needed.

Qualifications

• Advanced quantitative training in mathematics, physics, statistics, operations research, or a closely related discipline, with a strong foundation in probability, statistical inference and numerical methods.
• A track record of independently developing and validating financial, scientific or other quantitative models of complex systems.
• Ability to choose and apply forecasting, simulation or optimization methods with incomplete or noisy data.

Responsibilities

• Design and develop models of complex systems with multiple interacting variables and changing conditions.
• Build AI cost models covering development, deployment and operation.
• Develop models of AI’s economic value, including productivity, cost savings and revenue effects.
• Create forecasts, simulations and scenarios that capture uncertainty and interactions between drivers.
• Identify and combine data from IDC research and other sources with defensible inputs.
• Calibrate and validate models against available evidence and test predictive performance.
• Build reusable, documented research code and workflows with tests and version control.
• Explain methodologies and findings clearly to colleagues and clients.

Skills

Python

Agentic AI tools

Mathematics/Statistics

Forecasting methods

Communication

Learning new domains

Code testing/reproducibility

Education

PhD in quantitative field

Advanced quantitative training

Tools

Python libraries

OpenAI Codex / Claude Code

Job description

IDC is seeking a Research Director to develop quantitative models for AI Economics, focusing on AI cost and value modeling with potential to expand into broader forecasting projects.

This is a hands-on quantitative role translating questions into mathematical models, implementing and testing code, and developing reusable methods for colleagues. You’ll contribute to client discussions when needed.