Data Scientist - Cybersecurity AI & Advanced Analytics

Software Engineering Institute | Carnegie Mellon University; Arlington (VA); On-site; USD 120,000 - 170,000; Full time

Job summary

The Software Engineering Institute at Carnegie Mellon University seeks a Data Scientist to advance cybersecurity research through data analysis, ML, and AI. You will collaborate with government and industry clients, identify where advanced statistical techniques can tackle challenges, and help plan prototype solutions leading to final products.

You will co-author research proposals, execute studies, and present findings to sponsors and academic audiences.

Qualifications

• BS in data science, machine learning, statistics, or related highly-quantitative discipline with three (3) years of experience; or MS with one (1) year; or PhD in related field.
• Willingness to travel to various locations to support SEI missions.
• Background check and U.S. Department of War security clearance requirement.

Responsibilities

• Identify areas where advanced statistical techniques can help tackle cybersecurity problems.
• Plan and develop prototype solutions, and build final products.
• Co-author research proposals, execute studies, and present findings to sponsors and at academic conferences.
• Collaborate with government and industry clients to apply AI/ML to cybersecurity challenges.

Skills

Predictive modeling

Statistical analysis

Python

R

ML frameworks

NLP/LLMs

Big data

Communication skills

Education

BS/MS/PhD in data science or related quantitative field

Tools

Spark

TensorFlow

FastAPI

SageMaker

BigQuery

Snowflake

Job description

The Software Engineering Institute at Carnegie Mellon University seeks a Data Scientist to advance cybersecurity research through data analysis, ML, and AI. You will collaborate with government and industry clients, identify where advanced statistical techniques can tackle challenges, and help plan prototype solutions leading to final products.

You will co-author research proposals, execute studies, and present findings to sponsors and academic audiences.