Mechanical Engineer II, Data Analytics and Machine Learning (Hybrid - Aguadilla, PR)
US-PR-AGUADILLA-110 ~ Rd 110 N Km 28.8 ~ RD110, United States
R
USD 68K-131K (estimate) Mid-level Full Time
Tasks
- Analyze engineering and aircraft performance datasets
- Clean curate and prepare data for analytics and machine learning
- Collaborate on investigations and continuous improvement using digital thread and enterprise data
- Create technical documentation presentations and reports
- Define validation approaches acceptance criteria and performance metrics
- Develop, train, and validate machine learning models
- Extract features and detect anomalies from strain gauge structural thermal and flight data
- Perform statistical analyses on engineering and enterprise data
- Provide data driven insights to engineering reliability and service teams
- Research and implement machine learning algorithms for engineering applications
Perks/Benefits
- 401k match
- Disability coverage
- Employee assistance program
- Employee scholar program
- Hybrid work schedule
- Life insurance
- Medical, dental, and vision insurance
- Vacation
Skills/Tech-stack
Agile | Anomaly Detection | Clustering | Confluence | Data Visualization | Digital thread | Element analysis | Finite Element Analysis | Finite element | Jira | Machine Learning | Microsoft Office | NumPy | PLM | Pandas | Power BI | PySpark | Python | SQL | Statistical Analysis | Supervised Learning | Tableau | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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