Data Scientist

The MITRE Corporation•New Bedford, MA

4d•$98,800 - $148,200•Onsite

About The Position

At MITRE, your passion fuels work that impacts our nation and improves lives. This is where your skills strengthen national security, cybersecurity, health, transportation, and citizen services. We’re a nonprofit engineering, applied research, and advanced technology organization working in the public interest. With objectivity and integrity at our core, we lead federally funded research and development centers for U.S. government agencies – collaborating with industry and academia to deliver integrated, high-impact solutions that advance our nation’s health, security, and prosperity. Our people tackle the toughest technical challenges, supported by competitive benefits, meaningful career development, and a culture of innovation, collaboration, and technical excellence. Choose MITRE for a career with purpose — and help shape the future. Department Summary: 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).
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.
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.
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)
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

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.