Data Scientist

The MITRE Corporation•New Bedford, MA

3d•Hybrid

About The Position

MITRE’s Data Science and Engineering department is looking for qualified applicants to bring their advanced 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.

Requirements

Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Data Science, or related field with 2 years of relevant experience.
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).
Proficiency in Python and SQL required.
The ability to obtain and maintain a DoD Top Secret clearance within 12 months of hire.
U.S Citizen to be considered for a security clearance.
Hands-on experience in several of the following areas: Advanced Data Analytics and Artificial Intelligence, Machine Learning and Model Evaluation, Statistical Analysis and Exploratory Data Analysis, Large Language Models and AI-Assisted Workflows, Natural Language Processing, Anomaly Detection and Predictive Modeling, Graph Analytics.
Hands-on experience in several of the following areas: 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), Batch and Streaming Data Processing, Data Modeling, Schema Design, and Data Quality Assessment, Data Governance, Access Control, and Secure Data Handling, Cloud-based Data Platforms and Storage Architectures.
Hands-on experience in several of the following areas: Computer Programming and Databases, Software Engineering Best Practices (e.g., version control, testing, modular design), MLOps and Model Operationalization (e.g., model deployment, monitoring, reproducibility, containerization), Linux-based Development Environments, Git, Containers, and Cloud Platforms.

Nice To Haves

Master’s degree in Computer Science, Applied Mathematics, Statistics, Data Science, or related field
Active DoD Top Secret Clearance.

Responsibilities

Design data systems and apply advanced analytics, machine learning, and AI techniques to solve mission problems.
Operate across the full data lifecycle from data modeling, processing, and infrastructure engineering to statistical analysis, machine learning, experimentation, and operational deployment.
Identify and solve routine problems; Analyze possible solutions using technical experience and established precedents within the Data Science and Data Engineering disciplines.
Leverage intermediate level of knowledge of Data Science and Data Engineering and apply it to individual and team work products.
Communicate complex information, both written and verbal, to technical and non-technical audiences in routine situations.