Sr. Aviation Data Scientist & Machine Learning
Company Name:-
Mitre Corporation
Job Location:-
United States
Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionWhy 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 challengesand 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 dayworking 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 MITREand make a difference with us.
Job Description Summary
MITRE has an immediate opening for an Aviation Data Scientist with a specialization in machine learning to be part of a dynamic team of professionals working to improve the efficiency of traffic flow management operations in the United States National Airspace System (NAS).
We are looking to expand our team with someone with demonstrated technical excellence involving analysis of aviation data and the application of machine learning techniques to solving complex problems.
Key Functions: The successful candidate will be part of a team conducting analyses of multiple, integrated sets of aviation, weather, and other related data to identify ways to improve predictive models, identify trends impacting operations, and apply machine learning techniques to solve complex problems.
Qualifications: Preferred Qualifications: – Experience using tools such as Java, R, and Python to prepare and analyze time series data.
– Coding, data modeling, simulation, and data visualization experience (e.
g.
, Tableau).
– Excellent statistical and mathematical skills.
– Excellent written and verbal communications skills.
– Experience with machine learni
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