Data Scientist

Carnegie Mellon University

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Work type
On-site
Location
Pittsburgh, PAArlington, VA
Employment
Full-time
Posted
21 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $166k
$97k $233k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$204,800.

Based on 240 similar postings.

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About Carnegie Mellon University

Carnegie Mellon University is a leading private research university in Pittsburgh, Pennsylvania, internationally recognized for programs in computer science, engineering, business, the arts, and artificial intelligence. Industry: Higher Education & Research

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At a glance

TL;DR · Data Scientist

Data Scientist The Data Scientist joins the SEI team to help government and industry clients research and solve cybersecurity challenges. This role involves identifying areas where advanced statistical techniques can tackle problems, planning and developing prototype solutions, and building final products. Day-to-day responsibilities include co-authoring research proposals, executing studies, and presenting findings to sponsors and at academic conferences. The position requires expertise in predictive modeling, data science, and AI or machine learning. Candidates must be proficient with programming packages like R, Python, or MATLAB and possess skills in areas such as NLP, LLMs, time-series forecasting, or causal inference. The work involves building classifiers to identify security vulnerabilities, developing human-in-the-loop machine learning solutions, and researching generative AI, computer vision, and multimodal AI within a cybersecurity context.

What does a Data Scientist earn in Virginia?

Median $162000 from 89 postings across 9 companies.

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What you'll do

  • Identify areas where advanced statistical techniques can solve specific cybersecurity problems for clients.
  • Plan and develop prototype solutions and build final products for government and industry customers.
  • Co-author research proposals and execute studies on topics like generative AI and computer vision.
  • Present research findings to Department of War sponsors and at academic conferences.
  • 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.
  • Deploy models using frameworks such as FastAPI, Triton, KServe, SageMaker, or Vertex AI.
  • Manage big data workflows using tools like Spark, Trino, Snowflake, BigQuery, or Databricks.

What we're looking for

  • Must have a BS in a quantitative discipline with experience, an MS with , or a PhD with .
  • 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.
  • Proficiency with at least one mathematical/statistical programming package such as R, Python, or MATLAB.
  • Expertise in one or more areas including recommendation systems, time-series forecasting, NLP/LLMs, causal inference, or modern ML frameworks.
  • Experience deploying models using tools like FastAPI, Triton, KServe, SageMaker, or Vertex AI.
  • Experience working with big data platforms such as Spark, Trino, Snowflake, BigQuery, or Databricks.
  • Experience in cybersecurity and privacy (preferred).
  • Experience in U.S. Government work and/or with FFRDCs, UARCs, or National Labs (preferred).

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