Systems and Engineering Leader

3 weeks ago


McLean VA, United States The MITRE Corporation Full time

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 offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. MITRE’s Systems Engineering Analytics Department is charged to solve some of our nation's most critical challenges in delivering services to citizens throughout defense and intelligence, aviation, homeland security, the judiciary, healthcare, and cybersecurity domains.
Within our Systems Engineering Analytics Department we have an opportunity for Lead Data Scientist or Computer Scientist to serve as a Group Leader (GL).
Experience should include three or more of the following: machine learning, relational database design and management, data ingest and curation; data analytics including deep learning and artificial intelligence; data visualization including User Interface development; full stack development, including hardware and software architecture, virtual machine technology and management, and software engineering; data export including API development .
As our GL you will use your strong background in quantitative analysis, with hands on Systems Engineering experience for data analytics, software systems, and modeling. The successful candidate will be a key part of the management team and a people leader within the department. This position will be responsible for serving as a direct supervisor for 6-8 staff members with a diverse skill base in machine learning, data analysis, and research development. This position will focus on the development and deployment of machine learning models and data visualization products. We are seeking people who get excited about data and enjoy staff development. BS in Computer Science, Applied Statistics, Mathematics, or Engineering or related field and 8+ years of related data analytics experience including 2 years of leadership experience or equivalent combination of related education and work experience.
Knowledge and experience with statistical learning, data collection techniques, data preparation and curation, data management and modeling tools, database system design, relational and graph database theory, data visualization, and API development.
Proven track record of conducting research and development in data analytics pipeline design using systems engineering practices.
Familiar with managing projects/programs and project management tools.
Training and experience in a formal data science program (completed or ongoing).
Proven track record of teaching and mentoring early career data professionals.
Able to lead a project, implementing staff expansion, using a project teaming-based approach.
Track record of credibility with management and staff.
Preference given to candidates with experience as a Task Leader (TL)/deputy TL, Project Leader/deputy PL, or GL/Deputy GL at MITRE.
Ability to collaboratively develop and expand the community of interest in analytics as applied from a system engineering perspective.
Experienced in applying statistical learning, software development, and deployment solutions.
family medical or genetic information; marital, military, or veteran status; physical or mental disability; For further information please visit the Equal Employment Opportunity Commission website EEO is the Law Poster ( and Pay Transparency ( .
MITRE intends to maintain a website that is fully accessible to all individuals. Material on this site may be copied and distributed with permission only.



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