Senior Data Scientist

The MITRE Corporation•New Bedford, MA

1d•Hybrid

About The Position

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 5 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).
The ability to obtain and maintain a DoD Top Secret clearance within 12 months of hire.
Per the U.S. Government’s eligibility requirements, you must be a U.S Citizen to be considered for a security clearance.

Nice To Haves

Master’s degree in Computer Science, Applied Mathematics, Statistics, Data Science, or related field with 3 years of relevant experience; PhD in Computer Science, Applied Mathematics, Statistics, Data Science, or related field.
Active DoD Top Secret Clearance.

Responsibilities

Rapidly prototypes and evaluates Data Science, Data Engineering, and AI/ML approaches to assess feasibility and support project needs.
Leads simple projects or has accountability for tasks on a complex project; plans and guides the work of others.
When in a contributor role, works independently and requires minimal instruction, guidance, and direction.
Identifies and solves complex problems; takes new perspectives on existing solutions; exercises judgment within the Data Science and Data Engineering disciplines.
Leverages advanced knowledge of Data Science and Data Engineering and shares that knowledge with others.
Communicates complex results, both in writing and verbally, to technical and non-technical audiences.