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DEPARTMENT SUMMARY:

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

BASIC QUALIFICATIONS:

• Requires less than 1 year of related experience with a Bachelor’s degree in Data Science, Computer Science, or related field, or equivalent combination of related education and work experience
• Hands on proficiency using data science techniques, including machine learning, deep learning, or reinforcement learning
• Must be a US Citizen eligible to obtain a US Government Security Clearance
• This position requires a minimum of 50% hybrid on-site

PREFERRED QUALIFICATIONS:

• Advanced degree in Data Science, Computer Science, or related field
• Experience applying deep learning techniques
• Experience with LLMs
• Possess an active US Government Security Clearance

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.

• 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

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, LLM) 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.

• 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.