Data Scientist

The MITRE Corporation•New Bedford, MA

1d•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

Master’s degree in Computer Science, Applied Mathematics, Statistics, Data Science, or related field
Possess an active U.S. Government security clearance.
Top Secret clearance

Responsibilities

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.