Data Scientist

Carnegie Mellon University

Actively hiring
Pittsburgh, PA · Arlington, VA Posted 21 days ago

At a glance

AI generated

TL;DR

As a Data Scientist at the Software Engineering Institute (SEI), you will join a dynamic team focused on leveraging advanced statistical techniques, machine learning, and artificial intelligence to address complex cybersecurity challenges for government and industry clients. Your daily responsibilities include identifying areas where data science can provide solutions, developing prototype models, and building final products that influence national cybersecurity strategy. You’ll collaborate with elite professionals and university faculty on cutting-edge projects involving generative AI, computer vision, multimodal AI, and assurance of AI systems. The role requires proficiency in predictive modeling, statistical techniques, and advanced analytics tools such as Python, R, or MATLAB, along with experience deploying models using frameworks like FastAPI, TensorFlow, or PyTorch. Experience in cybersecurity and U.S. Government work is beneficial but not mandatory.

Skills

Python R MATLAB Prophet NeuralProphet Chronos Lag-Llama PyTorch TensorFlow LightGBM XGBoost CatBoost FastAPI Triton KServe SageMaker Vertex AI Spark Trino Snowflake BigQuery Databricks

What you'll do

  • Develop and implement advanced statistical techniques to solve cybersecurity challenges.
  • Plan and execute prototype solutions using machine learning and AI for cybersecurity projects.
  • Craft metrics and experimental designs for large-scale cybersecurity research programs.
  • Build classifiers to identify security vulnerabilities in software or systems.
  • Present findings from data analysis and machine learning studies at academic conferences.
  • Co-author research proposals and contribute to the development of new cybersecurity technologies.

What we're looking for

  • BS in data science or related field with 8 years of experience, or MS with 5 years, or PhD with 2 years.
  • Experience in predictive modeling, data science, and AI/machine learning.
  • Proficient in mathematical/statistical programming packages like R, Python, MATLAB.
  • Expertise in recommendation systems, time-series forecasting, NLP/LLMs, causal inference.
  • Ability to deploy models using FastAPI, Triton, KServe, SageMaker, Vertex AI.
  • Experience working with big data technologies such as Spark, Trino, Snowflake.

Market check

Salary context

This listing doesn't show a salary. Similar roles on FindRole typically pay $99,000–$213,925.

Peer median band

$99,000$213,925

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$126,800$182,375

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 36 open roles on FindRole.

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