Aviation Data Analyst

Company Details

TECHNOLOGY IN SUPPORT OF NATIONAL SECURITY MIT Lincoln Laboratory researches and develops a broad array of advanced technologies to meet critical national security needs. What sets us apart from many national R&D laboratories is our focus on building operational prototypes of the unique systems we design.

If you are interested in developing exciting new technologies that enable safe, efficient, and secure transportation for the nation, the Air Traffic Control Systems Group at MIT Lincoln Laboratory may be the place for you! We work in a wide range of mission areas, including weather sensing and forecasting, climate change mitigation, air traffic management, advanced air mobility, aviation cyber security, and military logistics. Our group brings together experts across multiple disciplines – systems analysis, meteorology, mathematics, computer science, aerospace engineering, human factors, and others – to address challenging and impactful real-world transportation problems. We develop unique and advanced prototype systems, and work closely with the US government, users, industry and academia to integrate cutting-edge systems into operations. Our technologies have been recognized nationally through numerous R&D100 awards, and we are proud to serve the country through our research. We offer a collegial work environment, value teamwork and diversity, and allow for flexible work arrangements.

Position Description

Our group is looking for a creative, motivated data analyst to help generate insights into the impacts of adverse weather on air traffic operations.  The candidate will define, calculate, visualize, and interpret metrics that capture important aspects of air traffic operations during periods of challenging weather.  These metrics will be used to identify operational inefficiencies and opportunities for performance improvements, and to evaluate the performance of weather forecasts and algorithms that translate weather conditions into measures of operational impacts.  Datasets include operational data such as forecast and observed use of airspace resources, airport arrival and departure counts, flight plans and trajectories, and weather phenomena such as surface winds, winds aloft, ceiling and visibility, and convective activity (thunderstorms).  Creativity and flexibility are a must, as there are no ‘industry standard’ metrics to describe aviation weather impacts and the calculation of impact metrics requires integration of data from multiple sources.

Requirements

  • Bachelor’s degree in mathematics, applied mathematics, computer science, physics, or engineering disciplines.
  • Proficiency in Python (preferred) and/or MATLAB.
  • Familiarity with probability and statistics, SQL / database operations.
  • Ability to think creatively and develop new methods as needed to solve challenging problems.
  • Ability to work in a collaborative team environment.
  • Ability to write and communicate clearly and succinctly.

Desired Skills

  • Experience with air traffic control systems, aviation systems, meteorology, cost-benefit analysis.
  • Experience with selecting & implementing machine learning algorithms.

Job Description

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

To safeguard our health and well-being, MIT Lincoln Laboratory requires COVID-19 vaccination for all employees.  Individuals may request exemption from the vaccine requirement for medical or religious reason.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

Requisition ID: 38261 #CJ

Tagged as: computer science, data analyst, aviation systems, data science

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