Job Description
Join the Data Science team, where you will bring your machine learning, advanced analytics, 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 healthcare, transportation, and national security. 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.
The successful candidate for this position is an early career data scientist who combines a solid theoretical and technical background with the ability to formulate problems, develop and evaluate solutions, and communicate results. Familiarity with advanced data science techniques and methods (e.g., supervised and unsupervised machine learning, deep learning, reinforcement learning) is a plus. Hands-on software development skills are a must. Our organization values innovation and lifelong learning and believes that in today's fast-paced technological environment keeping up with the latest research and technologies is an essential part of working in this field.
The successful candidate for this position is a data scientist who is familiar with machine learning techniques (e.g., supervised, and unsupervised machine learning), data visualization, and statistical analysis and has hands-on data science skills in addition to being a lifelong learner keeping up with the latest research and technologies in this field.
Roles and Responsibilities:
- Apply a variety of data science techniques to tackle customer challenges to include machine learning, statistical models, predictive analytics, optimization, risk analysis, and data visualization
- Apply data science rigor throughout the machine learning lifecycle to ensure reproducibility and trustworthiness.
- Contribute to the development, test, and evaluation of machine learning solutions.
Minimum Qualifications:
- Typically requires less than 1 year of related experience with a related bachelor's degree, or equivalent combination of related education and work experience.
- Hands on experience using machine learning and statistical techniques and tools. Hands on proficiency using data science techniques, including machine learning, deep learning, or reinforcement learning
- Experience using existing AI framework (e.g., TensorFlow, Caffe, MXNet, Cognitive Toolkit, Torch)
Preferred Qualifications:
- Advanced degree in Data Science, Computer Science, or related field
- Experience applying deep learning techniques
- Knowledge of MLOps, particularly in the AWS environment
- Possess an active US Government clearance
This requisition requires the candidate to have a minimum of the following clearance(s):
None
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
None
Work Location Type:
Hybrid
Subject to all federal and state laws, rules and regulations, MITRE requires all employees to be fully vaccinated against COVID-19. Newly hired employees must be fully vaccinated prior to their employment start date. MITRE will provide reasonable accommodation to individuals who are legally entitled to an exemption under applicable laws so long as it does not create an undue hardship for MITRE and/or does not pose a direct threat to the health or safety of the employee or others in the workplace.
MITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of age; ancestry; color; family medical or genetic information; gender identity and expression; marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. For further information please visit the Equal Employment Opportunity Commission website EEO is the Law Poster and Pay Transparency .
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Date Posted
02/26/2023
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