Investigate and apply advanced statistical techniques and predictive modeling to develop predictive maintenance strategies and optimize aircraft performance.
Collaborate with customers teams to identify and define analytics requirements.
Implement necessary data preparation steps and deploy machine learning models into production systems.
Collaborate with other engineering disciplines to solve fleet issues.
Partner with commercial Airplane Health Management (AHM) analytics teams to adapt tools for military uses.
Support in-service data investigations, queries, and data requests.
Ensure data security and compliance with relevant regulations throughout the data analysis lifecycle.
Communicate findings, insights, and recommendations to technical and non-technical stakeholders through clear and concise reports, presentations, and visualizations.
Provide input into internal research projects and strategy.

Requirements

Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
5+ years of professional experience in data science
2+ years of experience in Python for data science applications
Advanced degree (Master's or Doctorate) in Data Science, Engineering, Computer Science, Mathematics, or another similar technical background (preferred)
2+ years of experience in SQL (preferred)
Experience with KC-46 or 767 systems and architecture (preferred)
Experience working in Linux operating system (preferred)

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

statistical techniquespredictive modelingdata preparationmachine learningPythonSQLdata analysisdata sciencedata securitycompliance

Soft Skills

collaborationcommunicationproblem-solvingreportingpresentationvisualization

Certifications

Bachelor of Science degreeMaster's degreeDoctorate degree