Staff Data Scientist, Cybersecurity Research & ML

Software Engineering Institute | Carnegie Mellon University; Pittsburgh (Allegheny County); Hybrid; USD 120,000 - 180,000; Full time

Job summary

The Software Engineering Institute at Carnegie Mellon University is seeking data science professionals to apply advanced statistics, ML, and AI to cybersecurity challenges for government and industry clients. You will work with customers to identify where techniques can solve problems, plan prototypes, and build final products, often co-authoring research proposals and presenting findings.

You will engage with elite cybersecurity experts and university faculty to develop new technologies

Qualifications

• BS/MS/PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline.
• Three years experience (BS), one year (MS), or PhD in related field.
• Willingness to travel modestly to support SEI’s mission.
• Background check and ability to obtain U.S. security clearance.

Skills

Predictive modeling

Data science

AI / machine learning

Statistical modeling

Communication skills

Causal inference

Big data analytics

Multi-disciplinary collaboration

Education

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

Tools

R

Python (pandas, numpy)

MATLAB

Spark

BigQuery

Job description

The Software Engineering Institute at Carnegie Mellon University is seeking data science professionals to apply advanced statistics, ML, and AI to cybersecurity challenges for government and industry clients. You will work with customers to identify where techniques can solve problems, plan prototypes, and build final products, often co-authoring research proposals and presenting findings.

You will engage with elite cybersecurity experts and university faculty to develop new technologies