Senior Data Scientist

Carnegie Mellon University • Pittsburgh, PA • 6h ago

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 proto@type 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 (http://www.cmu.edu/jobs/why-cmu/index.html) " to learn more about becoming part of an institution inspiring innovations that change the world.

Click here (https://www.cmu.edu/jobs/benefits-at-a-glance/) to view a listing of employee benefits

Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran .

Statement of Assurance (https://www.cmu.edu/policies/administrative-and-governance/statement-of-assurance.html)

Always focused on the future, the Software Engineering Institute (SEI) advances software as a strategic advantage for national security. We lead research and direct transition of software engineering, cybersecurity, and artificial intelligence technologies at the intersection of academia, industry, and government. We serve the nation as a federally funded research and development center (FFRDC) sponsored by the U.S. Department of Defense (DoD) and are based at Carnegie Mellon University, a global research university annually rated among the best for its programs in computer science and engineering.

Our people apply special knowledge and skills and are part of an elite research university. We perform research and apply our expertise every day to foresee problems and exploit opportunities in software engineering, AI engineering, and cybersecurity. Quality software that is secure will control the future. At CMU SEI, we are engineering that ever-greater software-fueled future.

Need Help?

For technical assistance, email hr-help@andrew.cmu.edu or call 412-268-4600.

If you are an individual with a disability and you require assistance with the job application process, please contact Equal Opportunity Services by emailing employeeaccess@andrew.cmu.edu or calling 412-268-3930.

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