Associate Data Scientist
At a glance
Junior Data Science role at Cmu (SEI). Pittsburgh · full-time · no salary stated · we estimate $81,078–$125,000 across the United States.
Cmu (SEI) has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Work with customers to pinpoint cybersecurity problems suited to statistical methods, then shape and build prototype solutions into finished products
- Co-write research proposals, carry out studies, and present results to Department of War sponsors and academic conferences
- Develop cybersecurity research measures and experiments, human-guided machine learning tools, and classifiers that flag security vulnerabilities
- Contribute to work on generative AI, language models, computer vision, multimodal and agentic AI, or AI system assurance
What you bring
- A relevant quantitative degree plus the matching experience threshold: three years with a bachelor’s, one with a master’s, or a doctorate
- Experience in predictive modeling, data science, or AI and machine learning, with strong statistical modeling and advanced analytics knowledge
- Proficiency in at least one mathematical or statistical programming package
- Ability to obtain and keep a U.S. Department of War security clearance
Who this fits
This junior-level role suits someone with a quantitative background and an interest in applying data science to cybersecurity research. You’ll need to be willing to travel modestly and to pass a background check. The listed locations are Arlington, Virginia, and Pittsburgh, Pennsylvania.
From the employer
What We Do:
Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity challenges. In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products. You'll get a chance to work with elite cybersecurity professionals and university faculty to build new technologies that will influence national cybersecurity strategy for decades to come. You will co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences.
Our team works on a wide range of projects. Our current work includes research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we 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. If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you!
Requirements:
- BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with three (3) years of experience or equivalent combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with one (1) year of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline.
- Willingness to complete modest travel to various locations to support the SEI’s overall mission.
- You will be subject to a background check and must be able obtain and maintain a U.S. Department of War security clearance.
Knowledge, Skills and Abilities:
- 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, etc.)
- 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, etc.)
- 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)
Desired Experience:
- Experience in cybersecurity and privacy is a plus is a plus
- Experience in U.S. Government work and/or with FFRDCs, UARCs an National Labs is a plus
- Demonstrated ability to learn new concepts and grow into new areas of work
Location
Arlington, VA, Pittsburgh, PAJob Function
Software/Applications Development/EngineeringPosition Type
Staff – RegularFull time/Part time
Full timePay Basis
SalaryMore Information:
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Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
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