Data Scientist

Carnegie Mellon University

Data Scientist utilizing advanced statistics, machine learning, and AI to solve cybersecurity issues for government and industry clients. Engaging in research and development of innovative solutions with elite professionals.

Posted 5/8/2026full-timePittsburgh • Pennsylvania, Virginia • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

BigQueryCyber SecurityNumpyPandasPythonPyTorchSparkTensorflow

About the role

Key responsibilities & impact

Use advanced statistics, data analytics, machine learning, and artificial intelligence to help clients research and solve cybersecurity challenges
Identify areas where advanced statistical techniques can help tackle problems
Plan and develop prototype solutions, and build out final products
Work with elite cybersecurity professionals and university faculty
Co-author research proposals and execute studies
Present findings to DoW sponsors and at academic conferences
Research in generative AI and large language models, computer vision, multimodal AI, and assurance of AI systems
Craft metrics and experimental designs for large-scale cybersecurity research programs
Develop human-in-the-loop machine learning solutions and build classifiers to identify security vulnerabilities

Requirements

What you’ll need

BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience or equivalent combination of training or experience
MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience
PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with two (2) years of experience
Willingness to complete modest travel to support the SEI’s mission
Subject to background check and must be able to obtain and maintain a U.S. Department of War security clearance
Experience in predictive modeling, data science, and/or AI & machine learning
Deep understanding of statistical modeling techniques and advanced data analytics
Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB)
Innovative and inquisitive with ability to imagine novel analytical solutions to problems
Thrives in a multi-disciplinary environment
Strong communication skills
Expertise in one or more of the following: Recommendation systems, Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama), NLP / LLMs (fine-tuning, RAG, evaluation, prompt engineering), Causal inference / uplift modeling / synthetic controls, Modern ML frameworks (LightGBM/XGBoost, CatBoost, PyTorch, JAX, TensorFlow), LLMs / agentic workflows (LangChain/LlamaIndex/Haystack), Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar), Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks)

Benefits

Comp & perks

Comprehensive medical, prescription, dental, and vision insurance
Generous retirement savings program with employer contributions
Tuition benefits
Ample paid time off and observed holidays
Life and accidental death and disability insurance
Free Pittsburgh Regional Transit bus pass
Access to Family Concierge Team for childcare needs
Fitness center access

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analyticsmachine learningartificial intelligencepredictive modelingstatistical modelingadvanced data analyticshuman-in-the-loop machine learningclassificationgenerative AIcomputer vision

Soft Skills

strong communication skillsinnovativeinquisitiveability to imagine novel analytical solutionsthrives in a multi-disciplinary environment

Certifications

BS in data scienceMS in data sciencePhD in data scienceU.S. Department of War security clearance