Senior Data Scientist

Carnegie Mellon University

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Pittsburgh, PAArlington, VA
Employment: Full-time
Posted: 102 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Similar $158k

$98k $216k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$189,187.

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Employer

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

Carnegie Mellon University currently has 75 open roles on FindRole.

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At a glance

TL;DR · Senior Data Scientist

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The Senior Data Scientist joins the SEI team to help government and industry clients solve complex cybersecurity challenges using advanced statistics, data analytics, machine learning, and artificial intelligence. In this role, you will identify areas for statistical intervention, plan and develop prototype solutions, build final products, co-author research proposals, and execute studies. You will work on projects involving generative AI, large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Key responsibilities include crafting metrics for large-scale research, developing human-in-the-loop machine learning solutions, and building classifiers to identify security vulnerabilities. Required skills include proficiency in R, Python, MATLAB, PyTorch, JAX, or TensorFlow, alongside experience with Spark, Snowflake, BigQuery, and deployment tools like FastAPI, Triton, or SageMaker.

What does a Data Scientist earn in Virginia?

Median $162000 from 89 postings across 9 companies.

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Skills

Machine Learning Artificial Intelligence Python R PyTorch TensorFlow JAX NLP LLMs Generative AI Computer Vision Spark Snowflake BigQuery Databricks FastAPI Triton KServe SageMaker Vertex AI LightGBM XGBoost CatBoost LangChain LlamaIndex Haystack Prophet NeuralProphet Chronos Lag-Llama Statistics Data Analytics Predictive Modeling Causal Inference RAG Prompt Engineering

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 and machine learning.
Deep understanding of statistical modeling techniques and advanced data analytics.
Proficiency with at least one mathematical or 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 technologies 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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