Lead Machine Learning Data Science Engineer

MITRE Corporation - Bedford, MA

Full-time - Mid Level

Bedford, MA

Professional, Scientific, and Technical Services

About the position

MITRE's Data Science department is seeking a qualified data scientist to leverage machine learning, advanced analytics, and applied research skills to address critical national challenges. The role involves applying expertise in diverse domains such as healthcare, transportation, and national security, while also participating in internal research and development initiatives. The successful candidate will provide technical leadership, translate complex results into actionable insights, and contribute to innovative solutions that have a lasting impact.

Responsibilities

• Provide technical leadership on projects, either to junior staff or as a member of a team as a stand-alone senior subject matter expert.
• Translate complex results into actionable recommendations that can be understood by senior leadership and non-technical audiences.
• Develop, test, evaluate, and demonstrate data science and machine learning solutions.
• Build and test prototypes in on-premises and commercial cloud environments.
• Apply a variety of data science techniques to tackle customer challenges, including machine learning, generative AI, and data visualization.

Requirements

• Bachelor's degree in Data Science, Computer Science, Mathematics, or related field.
• Minimum of 8 years of experience with a Bachelor's degree; or 6 years with a Master's degree; or a PhD with 3 years of hands-on relevant experience.
• Experience using existing AI frameworks such as TensorFlow, Caffe, or Torch.
• Proficient in Python and SQL.
• Ability to obtain a US Government Clearance.

Nice-to-haves

• Advanced degree in Data Science, Computer Science, Mathematics, or related field.
• Knowledge or experience with trusted machine learning.
• Experience applying deep learning techniques.
• Experience with Generative AI technologies.
• Knowledge of MLOps, particularly in the AWS environment.

Benefits

• Competitive benefits
• Exceptional professional development opportunities
• Culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth