Cyber AI Data Scientist: Advanced Analytics & ML

Cmu; Pittsburgh (Allegheny County); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Tuition benefits

Paid time off

Retirement plan with employer match

Bus pass (Pittsburgh Regional Transit)

Family Concierge Team

Fitness center access

Job summary

Carnegie Mellon University’s SEI seeks a senior data scientist to advance cybersecurity research using statistics, ML, and AI. You will partner with government and industry clients to identify problems, plan prototypes, and deliver data-driven solutions, co-authoring proposals and presenting results at DoW and academic conferences.

Ideal candidates will excel in predictive modeling, ML frameworks, and big data tools, and can deploy models via modern platforms while communicating insights to

Qualifications

• BS in data science, machine learning, CS, statistics, or related quantitative field with 8+ years experience OR MS with 5+ years OR PhD with 2+ years.
• Willingness to travel modestly to support SEI mission.
• Background check and ability to obtain U.S. security clearance.

Responsibilities

• Collaborate with customers to identify where advanced statistical techniques can help tackle problems.
• Plan and develop prototype solutions and build final data products.
• Co-author research proposals, execute studies, and present findings to sponsors and conferences.
• Work with cybersecurity teams to apply ML/AI to national security challenges.

Skills

Predictive modeling

Statistical analysis

Data science

AI/ML

Big data frameworks

Model deployment

Python programming

Communication skills

Education

BS in data science / related field

MS in data science / related field

PhD in data science / related field

Tools

R

Python (NumPy/SciPy/Pandas/Polars)

MATLAB

Spark

BigQuery

Job description

Carnegie Mellon University’s SEI seeks a senior data scientist to advance cybersecurity research using statistics, ML, and AI. You will partner with government and industry clients to identify problems, plan prototypes, and deliver data-driven solutions, co-authoring proposals and presenting results at DoW and academic conferences.

Ideal candidates will excel in predictive modeling, ML frameworks, and big data tools, and can deploy models via modern platforms while communicating insights to