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Department Summary:
MITRE’s Data Science department is looking for qualified applicants to bring their advanced data science, 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.
Roles & Responsibilities:
The successful candidate for this position is a Data Scientist who combines a solid theoretical and technical background with the ability to identify and formulate problems, develop and evaluate solutions, and effectively communicate results. Our organization values innovation and believes that keeping up with the latest research and technologies is essential. The candidate should have hands-on experience in several of the following relevant areas for this role, including:
- Machine Learning and Model Evaluation (e.g., supervised, unsupervised, deep learning)
- Statistical Analysis and Exploratory Data Analysis (e.g., descriptive statistics, regression, visualization)
- Computer Programming and Databases – Proficiency in Python and SQL; experience with NoSQL or graph databases
- Large Language Models and AI-Assisted Workflows
- Natural Language Processing (e.g., summarization, classification, entity recognition, topic modeling)
- Anomaly Detection
- Graph Analytics (e.g. centrality, similarity, link prediction)
- Big Data Analysis (e.g., distributed data processing tools)
- MLOps and Environments (e.g. cloud platforms, Linux, version control)
Expectations for the successful candidate for this position are as follows:
- As an individual contributor, requires a moderate level of instruction, guidance, and direction from more senior staff and is progressing toward working independently.
- Provides informal guidance to new or junior team members.
- Identifies and solves routine problems; Analyzes possible solutions using technical experience and established precedents within the Data Science discipline.
- Leverages intermediate level of knowledge of Data Science and applies it to individual and team work products.
- Communicates complex information, both written and verbal, to technical and non-technical audiences in routine situations.
Basic Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Applied Mathematics, Statistics , 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 a U.S. citizen with ability to possess and maintain a U.S. Government security clearance.
- This position requires a minimum of 50% hybrid on-site
Preferred Qualifications:
- Master’s degree in Computer Science, Applied Mathematics, Statistics, Data Science, or related field
- Possess an active U.S. Government security clearance.
This requisition requires the candidate to have a minimum of the following clearance(s):
Top Secret
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
None
Salary compensation range and midpoint:
$98,800 - $123,500 - $148,200 Annual
Work Location Type:
Hybrid
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
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