Senior Data Scientist — Generative AI & Cybersecurity ML Lead

Carnegie Mellon University

Pittsburgh (Allegheny County)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Medical insurance

Retirement plan

Tuition benefits

Paid time off

Job summary

Carnegie Mellon University seeks a data science leader to apply predictive modeling and AI methods to cybersecurity challenges. You will work with DoW sponsors and industry partners to design studies, develop prototypes, and deliver final products.

The role requires presenting findings at conferences and co‑authoring research proposals. Applicants should hold advanced degrees in quantitative fields with substantial experience in ML, data analytics, and big data, and be willing to travel for SEI

Qualifications

BS in data science, machine learning, computer science, statistics, or related highly‑quantitative discipline with ten (10) years of experience or equivalent combination of training or experience.
MS in data science, machine learning, computer science, statistics, or related highly‑quantitative discipline with eight (8) years of experience.
PhD in data science, machine learning, computer science, statistics, or related highly‑quantitative discipline with five (5) years of experience.
Willingness to complete modest travel to various locations to support the SEI’s overall mission.
Subject to a background check and must be able to obtain and maintain a U.S. Department of War security clearance.

Responsibilities

Work with customers to identify areas where advanced statistical techniques can help tackle problems.
Plan and develop prototype solutions, and build final products.
Co‑author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences.