Principal Engineer, Data Analytics and Machine Learning (Hybrid - Aguadilla, PR)
US-PR-AGUADILLA-110 ~ Rd 110 N Km 28.8 ~ RD110, United States
R
USD 107K-204K (estimate) Senior-level Full Time
Tasks
- Analyze strain gauge structural thermal and flight data
- Clean curate integrate and prepare data for analytics and machine learning
- Conduct advanced statistical analyses on engineering and enterprise data
- Create technical documentation presentations and reports
- Define validation approaches acceptance criteria and performance metrics
- Develop, train, and validate machine learning models
- Lead analysis of engineering and aircraft performance datasets
- Lead digital transformation using digital thread and PLM
- Mentor junior engineers in data analytics and machine learning
- Research evaluate and implement machine learning algorithms
Perks/Benefits
- 401k matching
- Counseling sessions
- Disability coverage
- Employee assistance program
- Employee scholar program
- Life insurance
- Medical, dental, and vision insurance
- Vacation
Skills/Tech-stack
Agile | Anomaly Detection | Clustering | Confluence | Data Visualization | Database Management | Digital thread | Dynamics | Element analysis | Finite Element Analysis | Finite element | Instrumentation | Jira | Machine Learning | Model-Based Engineering | NumPy | PLM | Pandas | Power BI | Predictive Maintenance | PySpark | Python | SQL | Scikit-learn | Statistical Analysis | Structural analysis | Supervised Learning | Tableau | TensorFlow | Thermal concepts | Unsupervised Learning
Education
Regions
Countries
States
Cities
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