Noblis · 18 hours ago

Interdisciplinary Aerospace Engineer (Data Scientist)

United States

Full-time

Remote

Entry Level

$82K/yr - $210K/yr

10+ years exp

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Responsibilities

Conduct research, development, and evaluation of advanced air traffic control and management automation concepts. Propose new automation concepts and algorithms, help identify issues, and provide solution recommendations.

Develop system performance metrics, measures of effectiveness, and measures of performance for the AAM airspace architecture.

Coordinate data management strategy and architecture including identifying data collection needs, data models, and requirements.

Interact with senior researchers, customer (i.e., NASA), and other project engineers to develop and execute research plans which include milestones, requirements, schedules, design & development activities, deliverables.

Conduct analysis on simulation or flight test data to compare the AAM airspace performance against system performance metrics.

Prepare presentations and reports as required, present results at seminars and conferences, and publish papers as appropriate.

Work effectively with others including functional staff for day-to-day operations and efforts to improve operational excellence.

Qualification

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Engineering degreeData Science degreeHuman Factors Engineering degreeComputer Science degreeResearch study designFast-time simulationsPythonMATLABNoSQL databasesSQL databasesAeronautics backgroundAir traffic managementUnmanned aerial vehiclesNumerical analysisAlgorithmsScientific computationData analysis toolsJavaC/C++Machine learningMicrosoft OfficeAtlassian toolsConfluenceGitJira

Required

Minimum of Bachelor's degree in Engineering, Data Science, Human Factors Engineering, Computer Science or related.

Experience with designing and leading research studies involving fast-time simulations.

Expertise with scripting languages like Python and MATLAB, databases like NoSQL (e.g., MongoDB) and SQL (e.g., PostgreSQL).

Proficiency in Microsoft Office and its applications.

Demonstrated excellence in a related research and development environment and a sustained record of academic publications.

Background and experience in numerical analysis, algorithms, and scientific computation.

Analytical and problem-solving skills for design, creation, and testing of custom data analysis tools.

Possess excellent written and oral communication skills with experience writing routine reports and correspondence and presenting to customers or employees.

Ability to work independently, effectively, and professionally in a team environment (co-workers, customers, and supervisors).