Associate Data Scientist

Carnegie Mellon University

Confirmed live today High trust

Quick summary

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

Market check

Salary context

How this pay compares to similar roles

Similar $157k
$99k $216k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$187,137.

Based on 240 similar postings.

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.

Most-posted roles

View all roles at Carnegie Mellon University

At a glance

TL;DR · Associate Data Scientist

The Associate 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, designing experiments, and building classifiers to identify security vulnerabilities. Required skills include proficiency in R, Python, MATLAB, PyTorch, JAX, or TensorFlow, alongside experience with Spark, Snowflake, or BigQuery. You will apply expertise in NLP, recommendation systems, time-series forecasting, and causal inference to influence national cybersecurity strategy.

What does a Data Scientist earn in Virginia?

Median $162000 from 89 postings across 9 companies.

See salary data

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.
  • Process big data using tools like Spark, Trino, Snowflake, BigQuery, or Databricks.

What we're looking for

  • BS in a quantitative discipline with experience, an MS with experience, or a PhD.
  • Ability 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 platforms like 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).

More like this

Similar roles

Data Scientist

Carnegie Mellon University

Pittsburgh, PA +1 21 days ago
Python R PyTorch TensorFlow JAX LightGBM XGBoost CatBoost LangChain LlamaIndex Haystack Spark Snowflake BigQuery Databricks Trino FastAPI Triton KServe SageMaker Vertex AI Prophet NeuralProphet Chronos Lag-Llama NumPy SciPy Pandas Polars MATLAB NLP LLMs RAG Computer Vision Time-series forecasting Causal inference Predictive modeling Machine Learning Statistics Data Science Cybersecurity
8+ yrs exp

Senior Data Scientist

Carnegie Mellon University

Pittsburgh, PA +1 102 days ago
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
10+ yrs exp

Associate Data Scientist

Northrop Grumman

Palmdale, CA 42 days ago
Python Numpy Pandas Matplotlib SciKit-Learn TensorFlow PyTorch SQL Server AWS DynamoDB RDS Azure SageMaker S3 Tableau Plotly Dash Streamlit HuggingFace ETL MLOps Apache Airflow VBA SharePoint VS Code Jira Confluence Agile Computer Vision Time Series Analysis Statistical Modeling EDA
1+ yrs exp

Senior Data Scientist, Assistant Vice President

Deutsche Bank

New York, NY 6 days ago
Python SQL Machine Learning Generative AI Large Language Models Google Cloud Platform Microsoft Azure MLOps Data Pipelines APIs Version Control Software Development Lifecycle Statistics Model Monitoring
Hybrid

Data Scientist

Booz Allen Hamilton

Chantilly, VA 53 days ago
Python R SQL NoSQL Machine Learning Artificial Intelligence Natural Language Processing PyTorch TensorFlow scikit-learn Spark Pandas Polars Hadoop Kafka Hive EMR MySQL Gurobi LLMs Generative AI MapReduce Object-Oriented Programming