Senior Data Scientist

The MITRE CorporationNew Bedford, MA
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 5 years of relevant experience.
  • Must be a U.S. citizen with ability to possess and maintain a U.S. Government security clearance.
  • Hands-on proficiency with advanced Data Science techniques, including Machine Learning (e.g., supervised, unsupervised, deep 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).
  • Proficiency in Python and SQL; experience with NoSQL or graph databases preferred
  • 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)

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.
  • Possess an active U.S. Government security clearance.

Responsibilities

  • Rapidly prototypes and evaluates data science and AI 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 discipline.
  • Leverages advanced knowledge of data science and shares that knowledge with others.
  • Communicates complex results, both in writing and verbally, to technical and non-technical audiences.

Benefits

  • competitive benefits
  • exceptional professional development opportunities for career growth
  • culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership
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