What is a Data Scientist at Freddie Mac?
As a Data Scientist at Freddie Mac, you sit at the vital intersection of financial services, risk management, and advanced technology. Freddie Mac plays a foundational role in the US housing market by keeping capital flowing to mortgage lenders. Within this ecosystem, the data science team is responsible for building the predictive models, risk-assessment frameworks, and automation pipelines that keep the secondary mortgage market stable and efficient.
Your work in this position directly influences multi-billion-dollar portfolios. Whether you are placed in the Multifamily division, Credit Risk Transfer, or Single-Family analytics, you will tackle highly complex datasets. You will transition traditional econometric models into scalable, modern machine learning systems, and increasingly leverage generative AI to automate the extraction of critical financial insights.
This role is highly visible and intellectually demanding. It requires a rare blend of deep statistical rigor, modern programming skills, and business acumen. If you enjoy solving high-stakes financial puzzles and deploying models that impact millions of homeowners, this position offers an unparalleled platform for professional growth.



