Perform complex analysis of aviation data
Develop predictive maintenance strategies and optimize aircraft performance
Utilize NLP, data cleansing, and preprocessing techniques for accurate analysis
Apply modern RAG techniques for domain-specific insights
Collaborate with cross-functional teams to identify and define data requirements
Implement and deploy machine learning models into production systems
Communicate findings to stakeholders through reports and visualizations

Requirements

Bachelor of Science degree in Engineering, Engineering Technology, Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent
2+ years of professional experience in data science, artificial intelligence, or machine learning
2+ years of experience in Python for data science applications
Advanced degree (Master's or Doctorate) in related field preferred
5+ years of related work experience or equivalent combination of education and experience preferred
2+ years of experience in natural language processing preferred
2+ years of experience in SQL preferred
Proficient with data visualization tools, such as Tableau preferred
Proficient in deep learning frameworks such as PyTorch and TensorFlow preferred
Experience with generative AI models, including LLMs and RAG preferred
Engineering domain knowledge relating to aircraft maintenance, design, or testing preferred
Experience working in an agile software development team preferred

Benefits

Health insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life and disability insurance programs
Paid time off
Relocation assistance

Applicant Tracking System Keywords

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

Hard Skills & Tools

data analysispredictive maintenancedata cleansingpreprocessing techniquesmachine learningnatural language processingPythonSQLdeep learninggenerative AI

Soft Skills

collaborationcommunication

Certifications

Bachelor of Science degreeMaster's degreeDoctorate