Senior Data Scientist: Cybersecurity AI Innovator

Carnegie Mellon University; Arlington (VA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical insurance

Retirement plan

Tuition benefits

Paid time off

Job summary

Carnegie Mellon University’s SEI seeks a senior Data Scientist to advance cybersecurity research through quantitative methods and ML. You will collaborate with government and industry sponsors, design studies, and build prototype and production-ready solutions.

The role requires leadership in multi-disciplinary teams, experience deploying models, and strong communication skills to present findings at venues and conferences.

Qualifications

• PhD/MS/BS with extensive quantitative training and relevant experience.
• Experience with predictive modeling and advanced data analytics.
• Ability to deploy models and work with large data systems.

Responsibilities

• Lead data science projects addressing cybersecurity challenges.
• Collaborate with DoW sponsors and academic partners to plan and execute studies.
• Develop prototype solutions and scale final products.
• Prepare and present research findings at conferences

Skills

Predictive modeling

Statistical analysis

Python

ML frameworks

Big data tools

Communication skills

Research collaboration

Education

PhD in data science / ML / CS / statistics

MS in data science / ML

BS in quantitative field

Tools

R

Python (NumPy/SciPy/Pandas)

Spark

BigQuery

TensorFlow/PyTorch

Job description

Carnegie Mellon University’s SEI seeks a senior Data Scientist to advance cybersecurity research through quantitative methods and ML. You will collaborate with government and industry sponsors, design studies, and build prototype and production-ready solutions.

The role requires leadership in multi-disciplinary teams, experience deploying models, and strong communication skills to present findings at venues and conferences.