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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:

• Advance aviation safety by establishing standardized methods for ingesting and fusing various aviation datasets, developing derived analytics, and developing capabilities that 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

• Liaise with other teams across MITRE to enhance the department’s technological capability, and implement the latest advances in data science and machine learning

• Develop innovative data and software products in a collaborative aviation data ecosystem, including within AWS, to enable efficient safety mitigation development

• Regularly engage with sponsors 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 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 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

• Experience in one of the following: data engineering, statistical modeling, predictive analytics, artificial intelligence or machine learning

• Experience 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 ability to develop impactful data and software products in a fast-paced environment

• Strong problem-solving skills and willingness to reach out to technical experts

• Excellent technical writing and presentation skills

• Strong motivation to expand knowledge and skills

• 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

• Experience 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

• Strong knowledge of aviation operations and safety management

• Critical thinking, including demonstrated ability to understand a complex engineering problem, and follow through with proposing and executing on novel solutions

• Strong interpersonal skills and significant experience working with multi-disciplinary teams

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

Suitability - FAA

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

None

Work Location Type:

Hybrid

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