About this opportunity
Software Engineering Institute | Carnegie Mellon University lists this Senior Data Scientist opportunity in arlington, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
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.
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.
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
Statement of Assurance
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Worksite address
arlington, VA, 22201, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.