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CMU SEI

Senior Data Scientist

LocationPittsburgh, PA; Arlington, VA
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentSoftware/Applications Development/Engineering
Company size1,001–5,000 people
PostedJul 17, 2026 · 2mo ago
Verified live15h ago
At a glanceSummarised by Seekless from the posting.
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.
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)
Experience in cybersecurity and privacy 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
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.
Skills
R
Python
Python NumPy
Python SciPy
Python pandas
Polars
MATLAB
Prophet
NeuralProphet
Chronos
Lag-Llama
LangChain
LlamaIndex
Haystack
LightGBM
XGBoost
CatBoost
PyTorch
JAX
TensorFlow
FastAPI
Triton
KServe
SageMaker
Vertex AI
Spark
Trino
Snowflake
BigQuery
Databricks
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
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