Job description

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 ten (10) 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 eight (8) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience. 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, PA Job Function Software/Applications Development/Engineering Position Type Staff – Regular Full time/Part time Full time Pay Basis Salary More Information: Please visit “ Why Carnegie Mellon ” to learn more about becoming part of an institution inspiring innovations that change the world. Click here to view a listing of employee benefits Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran . Statement of Assurance

Requirements

Must-haves

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.
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)

Nice-to-haves

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
Arlington, VA, Pittsburgh, PA Job Function
Software/Applications Development/Engineering Position Type
Staff – Regular Full time/Part time
Full time Pay Basis
Salary More Information: Please visit “ Why Carnegie Mellon ” to learn more about becoming part of an institution inspiring innovations that change the world.
Click here to view a listing of employee benefits
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran .
Statement of Assurance

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaipythonml

Platform: workday
Effort: long

Benefits

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