Cybersecurity Data Scientist - AI/ML for National Defense

Software Engineering Institute | Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 140,000 - 200,000; Full time

Job summary

Software Engineering Institute (SEI) at Carnegie Mellon University seeks a senior Data Scientist to apply predictive modeling, statistical analysis, and AI techniques to government and industry cybersecurity challenges. You will identify opportunities with customers, plan prototypes, and develop final products with elite cybersecurity professionals and university faculty.

Role involves co-authoring research proposals, executing studies, and presenting findings at DoW sponsors and conferences.

Qualifications

• BS in data science, ML, CS, statistics, or related quantitative discipline with eight years of experience or equivalent; or MS with five years; or PhD with two years.
• Willingness to travel modestly to support SEI mission.
• Background check and ability to obtain U.S. security clearance.

Responsibilities

• Apply predictive modeling, data science, and ML to cybersecurity challenges.
• Collaborate with customers to plan prototypes and build final products.
• Present findings to sponsors and at conferences.
• Contribute to research proposals and experiments.

Skills

Predictive modeling

Statistical modeling

Big data

Programming (R/Python/MATLAB)

Communication

Cybersecurity domain knowledge

ML frameworks (TensorFlow, PyTorch)

LLMs/NLP

Deployment (FastAPI/SageMaker)

Spark/BigQuery/Snowflake

Education

Bachelor's degree in data science, statistics, CS or related field

MS in data science, ML, CS or related field

PhD in data science or related field

Tools

Spark

Trino

Snowflake

BigQuery

Databricks

Job description

Software Engineering Institute (SEI) at Carnegie Mellon University seeks a senior Data Scientist to apply predictive modeling, statistical analysis, and AI techniques to government and industry cybersecurity challenges. You will identify opportunities with customers, plan prototypes, and develop final products with elite cybersecurity professionals and university faculty.

Role involves co-authoring research proposals, executing studies, and presenting findings at DoW sponsors and conferences.