Data Scientist

Overview

What We Do: Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help government and industry clients research and solve cybersecurity challenges. In this role, you will work with customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build final products. You will co-author research proposals, execute studies, and present findings to sponsor organizations and academic conferences.

We work on a wide range of projects, including research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. 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!

• Research areas include generative AI, large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems.
• Develop metrics and experimental designs for large-scale cybersecurity research programs.
• Build human-in-the-loop machine learning solutions and classifiers to identify security vulnerabilities.

• BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience, or MS with five (5) years, or PhD with two (2) years of experience.
• Willingness to complete modest travel to various locations to support the SEI’s mission.
• You will be subject to a background check and must be able to 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 (Num Py/Sci Py/Pandas/Polars), MATLAB).
• Innovative and inquisitive with the 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 areas:
  • Recommendation systems
  • Time-series forecasting (Prophet, Neural Prophet, Chronos, Lag-Llama, etc.)
  • NLP / LLMs (fine-tuning, RAG, evaluation, prompt engineering)
  • Causal inference / uplift modeling / synthetic controls
  • Modern ML frameworks:
    Light
    
    GBM/XGBoost, Cat Boost, PyTorch, JAX, Tensor Flow
  • LLMs / agentic workflows (Lang Chain/Llama Index/Haystack)
  • Experience deploying models (FastAPI, Triton, KServe, Sage Maker, Vertex AI, or similar)
  • Experience working with big data (Spark, Trino, Snowflake, Big Query, Databricks)

• Experience in cybersecurity and privacy is a plus.
• Experience in U.S. Government work and/or with FFRDCs, UARCs and National Labs is a plus.
• Demonstrated ability to learn new concepts and grow into new areas of work.

Joining the CMU team opens the door to an array of exceptional benefits. Benefits eligible employees enjoy comprehensive medical, prescription, dental, and vision insurance, a generous retirement savings program with employer contributions, tuition benefits, ample paid time off and holidays, and life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to Family Concierge Team for childcare resources, fitness center access, and more.

For a comprehensive overview of benefits, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. We evaluate the role and responsibilities, your work experience, and the knowledge gained through education and training. Your journey with us is about more than just a job; it’s about finding the right fit for your professional growth and personal aspirations. This position is open to applicants in Arlington, VA, or Pittsburgh, PA.

Arlington, VA;
Pittsburgh, PA

Software/Applications Development/Engineering

Staff – Regular

Full time

Salary

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• to view a listing of employee benefits.
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance