Job Information
The MITRE Corporation Lead Data Scientist (Center for Integrated Transportation) in McLean, Virginia
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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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