Senior Data Scientist
At a glance
Senior Data Science role at Cmu (SEI). Pittsburgh · full-time · no salary stated · we estimate $148,247–$205,000 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
- Find cybersecurity challenges where statistical methods can help, then develop prototypes and turn successful approaches into finished products
- Help write research proposals, conduct studies, and share findings with Department of War sponsors and academic conferences
- Design measures and experiments for cybersecurity research, create human-guided machine learning solutions, and build vulnerability classifiers
- Work on projects involving generative AI, language models, computer vision, multimodal AI, and assessment of AI systems
What you bring
- A quantitative degree plus relevant experience: a bachelor's with ten years, a master's with eight, or a doctorate with five
- Experience in predictive modeling, data science, or AI and machine learning, backed by strong statistical modeling and analytics skills
- Skill with at least one mathematical or statistical programming package, such as R, Python libraries, or MATLAB
- Willingness to travel modestly and ability to obtain and keep a U.S. Department of War security clearance
Who this fits
This role suits a senior data scientist or statistician who wants to apply analytical methods to cybersecurity challenges and work across disciplines. You will present findings to sponsors and conference audiences. The full-time role is based in Arlington, Virginia, or Pittsburgh, Pennsylvania, and requires modest travel.
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 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, PAJob Function
Software/Applications Development/EngineeringPosition Type
Staff – RegularFull time/Part time
Full timePay Basis
SalaryMore 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.
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science
Find me workBy the team behind dataroles.