Massachusetts Information Technology Jobs

Search for Jobs in Information Technology
MassHire JobQuest Logo

Job Information

The MITRE Corporation Lead Data Scientist – Network Analysis and Control in Bedford, Massachusetts

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE—and make a difference with us.

The Lead Data Scientist must have an entrepreneurial spirit, a willingness to take risks, and a desire to advance the state of the art in networking. This position will require direct application of data science principals, experience with complex communication networks, and an understanding of network-focused data analytics and automation. If this sounds like you, and you have five plus years of professional experience in this area, then put it to work in this senior technical leadership position by joining us in MITRE’s Infrastructure and Networking Technical Center.

Key Functions:

  • Develop data analytics approaches to predict network behaviors or detect behavioral anomalies in the environment

  • Design data analytic systems to support network automation and network security initiatives and projects for multiple government agencies and sponsors

  • Offer technical leadership in the area of data science to government sponsors and internally within the department

  • Work in cross-discipline teams serving as the subject matter expert in the area of data analytics and data science

  • Lead innovation and research activities including internal R&D efforts

  • Serve as a subject matter expert and trusted advisor to government sponsors

    Minimum Qualifications:

  • BS and 8 years related experience

  • Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information or applicants who are eligible for security clearances

  • Possess an active Secret level security clearance

    Required Qualifications:

  • BS in Computer Science, Mathematics, or a similar field with at least five years of experience in relevant positions

  • Hands-on software development skills (Python, Scala, Java)

  • Experience working with Big Data tools (e.g. Spark, Hadoop, Elasticsearch, Kafka)

  • Prior experience working with databases (e.g., PostgreSQL, Oracle, MySQL, MongoDB, Neo4j)

  • Experience conducting original research using data science techniques, including machine learning, statistical modeling, and data visualization

  • Working knowledge of data science workflow from data wrangling and cleaning to exploratory analysis all the way through to reporting and visualization

  • Working knowledge of various machine learning paradigms (deep learning, reinforcement learning, neural networks, etc.) with an understanding of mathematical underpinnings of various models

  • Experience performing data analytics in cloud environments, particularly AWS

  • Understanding of traditional IP networking (including architecture, protocol design and analysis)

  • Demonstrated ability to take risk and achieve significant work program or organizational outcomes

  • Excellent written and verbal communications skills

  • Ability to obtain and maintain a Top-Secret and above level security clearance

    Preferred Qualifications:

  • Advanced degree in Computer Science, Mathematics, or related field, with a focus on machine learning

  • Experience developing prototype data science applications and deploying at-scale against Big Data

  • Familiarity with programmable control plane (e.g. SDN) and data plane technologies (e.g. P4)

  • Exposure to operational technology (OT) networks and relevant protocols commonly leveraged in these environments (e.g. DNP3, MODBUS)

  • Understanding of the applicability of machine learning models to network and distributed systems

  • Proven track record of proposing and leading R&D initiatives and successfully transitioning to operational environment

This requisition requires the following clearance(s):

MITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, gender, gender expression, sexual identity, disability, age, veteran status, and other protected status.

MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE’s employment process, please contact MITRE’s Recruiting Help Line at 703-983-8226 or email at

Copyright © 1997-2021, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

At MITRE, we solve problems for a safer world. Through our federally funded R&D centers and public-private partnerships, we work across government to tackle challenges to the safety, stability, and well-being of our nation. As a not-for-profit organization, MITRE works in the public interest across federal, state and local governments, as well as industry and academia. We bring innovative ideas into existence in areas as varied as artificial intelligence, intuitive data science, quantum information science, health informatics, space security, policy and economic expertise, trustworthy autonomy, cyber threat sharing, and cyber resilience.