Data Science and Engineering Intern
MITRE
Summary
MITRE's Data Science and Engineering department is looking for applicants to bring their data science, data engineering, machine learning, artificial intelligence, and applied research skills to bear on solving problems of critical national importance. MITRE's diverse work program provides opportunities to apply your expertise and creative thinking in challenging domains such as national security, intelligence, transportation, and healthcare. Employees may also participate in MITRE's internal research and development program, which provides funding for innovative applied research that addresses our sponsors' hardest problems.
Job description
The successful candidate for this position is a hybrid Data Scientist and Data Engineer who combines foundations in computer science, mathematics, and software engineering with experience in data systems and applying machine learning and AI techniques to solve problems. The candidate should be able to operate across the full data lifecycle from data modeling and data processing to statistical analysis, machine learning, and experimentation. Our organization values innovation and believes that keeping up with the latest research and technologies is essential.
The candidate should have some experience in several of the areas specified below, however it is not required that a candidate has experience in all of these areas.
Advanced Data Analytics and Artificial Intelligence
- Machine Learning and Model Evaluation (e.g., supervised, unsupervised, deep learning, reinforcement learning)
- Statistical Analysis and Exploratory Data Analysis (e.g., descriptive statistics, regression, visualization)
- Large Language Models and AI-Assisted Workflows
- Natural Language Processing (e.g., summarization, classification, entity recognition, topic modeling)
- Anomaly Detection and Predictive Modeling
- Graph Analytics (e.g. centrality, similarity, link prediction)
Data Engineering
- Distributed Data Processing and Big Data Architectures (e.g., Spark, Hadoop, Ray, Dask, Kafka)
- Data Pipeline/ETL Development and Orchestration (e.g., Airflow, Dagster, NiFi)
- Data Modeling, Schema Design, and Data Quality Assessment
- Cloud-based Data Platforms and Storage Architectures
Software Development
- Computer Programming and Databases – Proficiency in Python and SQL required
- Linux-based Development Environments, Git, Containers, and Cloud Platforms
Requirements
- Sustained excellence in academic performance.
- Must be a student enrolled full-time in an accredited degree-seeking program in Computer Science, Applied Mathematics, Statistics, Data Science, or a related degree and continue to be enrolled full-time the semester following the internship.
- Hands-on proficiency with advanced Data Science techniques, including Machine Learning (e.g., supervised, unsupervised, deep learning, reinforcement learning), anomaly detection, statistical analysis, and/or analysis of very large datasets.
- Computer programming skills (e.g., Python, R, C/C++, Java, Scala, Julia, Rust, MATLAB).
- Must be eligible to obtain and maintain a Top Secret U.S. Government issued Security Clearance. Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance.
- Proficiency in Python and SQL required
- Demonstrated interest in serving the public.
- Active DoD Top Secret Clearance.
Company overview
MITRE is a not-for-profit corporation that operates federally funded research and development centers (FFRDCs) for various U.S. government agencies. Founded in 1958, MITRE serves as a critical bridge between government requirements and technological innovation, providing objective analysis and solutions to complex national security and public interest challenges. The organization's work spans multiple domains including cybersecurity, aviation, healthcare, defense systems, and critical infrastructure protection. MITRE operates two primary FFRDCs: one for the Department of Defense and another for the Federal Aviation Administration and Department of Homeland Security. The corporation is renowned for developing technical standards and frameworks, most notably the MITRE ATT&CK framework for cybersecurity threat modeling. With a workforce of engineers, scientists, and technical specialists, MITRE focuses on solving problems of national importance through applied research, systems engineering, and advanced technology development, maintaining strict objectivity by not manufacturing products or competing with private industry.