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The Aviation Safety & Analysis department has an immediate opening for an Aviation Data Scientist to be part of a dynamic team of professionals working to improve the safety of the United States (US) National Airspace System (NAS) working closely with both US and International Airlines. We are looking to expand our team with someone with demonstrated technical experience involving analysis of digital flight data for aviation safety plus excellent written and verbal communication skills.
The candidate will be responsible for:
Conducting analyses of multiple integrated databases of Flight Operational Quality Assurance (FOQA) data and other aviation and weather data to identify potential factors that may lead to aviation accidents or incidents.
Leveraging the General Electric Aviation Digital (GEAD) FOQA API to access data, develop tools, and communicate data quality issues
Conducting daily work flow and monitoring processes for the FOQA program.
Identifying anomalous characteristics of aviation safety risks and creating monitoring tools to assess trends.
Developing and applying analytical models to aviation data to identify trends and assess known risks.
Developing techniques that make use of both digital flight data, text-based safety reporting, and a variety of other aviation data sets both in a silo and in a fused environment to identify potential safety vulnerabilities.
Bachelor’s Degree in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields
3 or more years related job experience
Previous experience with the General Electric (GE) Aviation Digital EMS software platform, specifically using the API interface for data access and analysis
Experience working with data mining tools such as Tableau, Business Objects, Access, etc.
Experience performing data analysis and building various related reports
Proven ability to work independently to learn new technologies, techniques, and processes
Strong analytic, inferencing, critical thinking, and creative problem-solving skills
Self-starter with ability to work both independently and with a team
Strong communication skills and ability to explain technical concepts to non-technical and senior decision-makers
Software programming knowledge/experience (e.g. Python, Java, C++, R)
Master's degree in related field
Knowledge of aeronautical theory and aviation operations as applied to commercial aircraft
Private pilot license or higher
Experience with a commercial aviation carrier
Experience visualizing multi-dimensional data using tools (e.g. Tableau, D3).
Knowledge of data processing capabilities (e.g. Hadoop, Pig, Spark, SQL)
Prior experience working with databases (e.g. Oracle, MySQL, Microsoft SQL Server)
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