Data Scientist
Core
Data Scientist at the SEI (Carnegie Mellon) uses advanced statistics, machine learning, and AI to research and solve cybersecurity challenges for government and industry clients.
Role type
Senior IC Data Scientist (Cybersecurity & AI Research)
Builds
Prototype solutions, final products, classifiers for security vulnerabilities, and metrics for large-scale cybersecurity research programs.
Domain
Cybersecurity, Artificial Intelligence, Machine Learning, Statistics
Deliverable
production ML models | research | client delivery
Required skills
Predictive modeling, statistical modeling, advanced data analytics, mathematical/statistical programming (R, Python, MATLAB), NLP/LLMs (fine-tuning, RAG), causal inference, modern ML frameworks (PyTorch, TensorFlow, XGBoost), model deployment, big data processing
Preferred skills
Cybersecurity and privacy expertise, experience with U.S. Government work or FFRDCs/National Labs
Technologies
R, Python (numpy/scipy/pandas/polars), MATLAB, Prophet, NeuralProphet, Chronos, Lag-Llama, LightGBM, XGBoost, CatBoost, PyTorch, JAX, TensorFlow, LangChain, LlamaIndex, Haystack, FastAPI, Triton, KServe, SageMaker, Vertex AI, Spark, Trino, Snowflake, BigQuery, Databricks
Responsibilities
Identify areas for advanced statistical techniques, plan and develop prototype solutions, build out final products, co-author research proposals, execute studies, present findings to sponsors and at academic conferences
Seniority
Staff level, hands-on IC with significant autonomy