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Systems Engineering Analytics, Group Leader
3 months ago
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.
**Department Summary**:
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.
This is an excellent opportunity for a motivated, results-oriented professional. We are seeking people who get excited about data and enjoy staff development. The GL will be a strategic thinker, focused on business development with a passion to develop new capabilities in support of MITRE goals of grow our work, build our team, and grow our organization for a safer world.
**Basic Qualifications**:
- BS in Computer Science, Applied Statistics, Mathematics, or Engineering or related field and 10+ years of related data analytics experience including 2 years of leadership experience or equivalent combination of related education and work experience.
- Must be a US citizen capable of obtaining and maintaining a US government clearance.
- 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.
- Demonstrated leadership by servitude (servant leader principles).
- Demonstrated track record of exemplifying MITRE core values of speed, adaptability, collaboration, and grace & respect.
- 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.
- Results-oriented, capable of delegation and providing effective oversight.
- Able to lead a project, implementing staff expansion, using a project teaming-based approach.
- Skilled communicator.
- Track record of credibility with management and staff.
**Preferred Qualifications**:
- Ability to collaboratively develop and expand the community of interest in analytics as applied from a system engineering perspective.
- Capable of creating a vision, gaining consensus, establishing a plan, and motivating team members towards productive outcomes.
None
Secret
**Work Location Type**:
Hybrid
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