Job Abstract

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:

As part of the Center for Integrated Transportation, the Operational Safety Mitigations Department (P231) identifies emerging risks and develops mitigations in the aviation and surface transportation domains. Comprised of safety experts, software engineers, and data scientists, P231 leverages proprietary and public datasets to promote collaboration among a variety of stakeholders and drive proactive mitigation of safety risks in aviation and surface transportation.

Roles and Responsibilities:

• Lead a team of multi-disciplinary engineers, including software developers, data scientists, and subject matter experts in a diverse set of projects focused on aviation risk mitigation
• Proactively liaise with other teams across MITRE and industry partners to enhance the department’s technological capability, and lead the adoption of the latest advances in data science and machine learning
• Advance aviation safety by establishing standardized methods for ingesting and fusing various aviation datasets, developing derived analytics, and developing capabilities that directly impact sponsor and stakeholder missions to enable efficient data-driven analysis by sponsors and stakeholders
• Apply innovative analysis techniques to uncover anomalous characteristics or precursors to aviation safety risks
• Develop safety analytics and data visualization products that enable data-driven decision making for sponsors involved in safety monitoring and mitigation
• Develop innovative data and software products in a collaborative aviation data ecosystem, including within AWS, to enable efficient safety mitigation development
• Develop sponsor relationships and engage across industry to drive mission impact and cultivate new business opportunities
• Develop efficient and repeatable data pipelines for data transfers, extractions, culling, manipulation, and preparation for input into analyses and machine learning models

Basic Qualifications:

• Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years’ experience; or equivalent combination of related education and work experience.
• Ability to obtain and maintain FAA Suitability within the first 12 months
• Self-starter capable of working in a dynamic environment
• Expertise in one of the following: data engineering, statistical modeling, predictive analytics, artificial intelligence or machine learning
• Expertise using software languages such as Java, Python, and R
• Experience using common web development frameworks such as Vue and Angular
• Experience building large-scale data processing pipelines
• Experience using AWS tools and tailoring them for effective use in project work
• Demonstrated leadership of multi-disciplinary technical teams and implementation of software development best practices
• Critical thinking, including demonstrated ability to understand a complex engineering problem, and follow through with proposing and executing on novel solutions
• Demonstrated ability to lead a project team in development of impactful data and software products in a fast-paced environment
• Strong problem-solving skills and engagement with technical experts to develop and vet solutions
• Excellent technical writing and presentation skills
• Strong motivation to expand knowledge and skills of the organization
• Excellent verbal and written communication skills, and the ability to convey complex ideas or analyses in a clear and organized manner
• This position requires a minimum of 50% hybrid on-site

Preferred Qualifications:

• FAA – Suitability (Preferred)
• Advanced degree in Data Science, Computer Science, Applied Mathematics, Statistics, or related subjects
• Expertise in big data processing, analysis, and visualization using aviation or transportation data
• Experience training and deploying machine learning models at scale
• Demonstrated ability to learn and apply knowledge of a technical domain to software development, particularly in aviation safety
• Expertise in aviation operations and safety management
• Strong interpersonal skills and significant experience leading multi-disciplinary teams

This requisition requires the candidate to have a minimum of the following clearance(s):

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

Work Location Type:

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