Carnegie Mellon University is seeking a Data Scientist to support the SEI's mission in cybersecurity. The role involves working with advanced statistics, data analytics, and machine learning to develop innovative solutions for government and industry clients. Candidates should possess a relevant degree with significant experience in predictive modeling, statistical modeling techniques, and programming in tools like R and Python. The position is full-time based in Pittsburgh and may involve travel and security clearance requirements.
Qualifications
Three years of experience in data science or machine learning, or an MS with one year of experience.
Willingness to complete modest travel for project support.
Must obtain U.S. Department of War security clearance.
Responsibilities
Identify areas where statistical techniques can tackle problems.
Plan and develop prototype solutions along with final products.
Co-author research proposals and execute studies.
Skills
Predictive modeling
Data science
AI & machine learning
Statistical modeling techniques
R programming
Python
Strong communication skills
Education
BS in data science, machine learning, computer science, statistics, or related discipline
MS with one year of experience or PhD in a related discipline
Tools
R
Python (numpy/scipy/pandas/polars)
MATLAB
Spark
Trino
Snowflake
BigQuery
Databricks
Job description
Carnegie Mellon University is seeking a Data Scientist to support the SEI's mission in cybersecurity. The role involves working with advanced statistics, data analytics, and machine learning to develop innovative solutions for government and industry clients. Candidates should possess a relevant degree with significant experience in predictive modeling, statistical modeling techniques, and programming in tools like R and Python. The position is full-time based in Pittsburgh and may involve travel and security clearance requirements.