Aerospace Data Analytics & ML Engineer (Hybrid)

Prattwhitney; Aguadilla (PR); Hybrid; USD 75,000 - 110,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

3 weeks vacation

401(k) with employer matching

Employee Scholar Program

Life insurance

Disability coverage

Counseling services

Job summary

RTX in Aguadilla, PR is seeking a Data Analytics Engineer to analyze aircraft services data and develop predictive models for forecasting, reliability, and service improvements. The role blends hands-on data work with collaboration across engineering teams and occasional travel.

The position requires a STEM degree with 2+ years of relevant experience, strong English communication, and practical ML, Python, and data analytics skills.

Qualifications

• Degree in STEM with 2 years of relevant experience or an advanced degree.
• Professional experience communicating in English (verbal and written).
• U.S. citizenship is required.
• Experience in data analytics workflows, statistical methods, and engineering data interpretation.
• Hands‑on experience with Python for data analysis (NumPy, Pandas, PySpark).
• Practical knowledge of machine learning concepts with model development and validation.
• Foundational understanding of mechanical engineering principles or aircraft systems.
• Strong analytical and problem‑solving abilities with clear communication to diverse audiences.
• Proficiency with Microsoft Office tools.

Responsibilities

• Analyze engineering and aircraft performance datasets to generate actionable insights for product performance and reliability.
• Perform data curation, cleaning, integration, and preparation for analytics, modeling, and machine learning workflows.
• Work with strain gauge, structural, thermal, and flight/aircraft data to extract features, identify trends, and detect anomalies or predictive indicators.
• Develop, train, and validate ML models for predictive maintenance, service interval estimation, and performance forecasting.
• Define validation methods, acceptance criteria, and performance metrics for analytical models.
• Generate data‑driven insights and recommendations for design, reliability, service engineering, and customer support teams.
• Conduct statistical analyses to evaluate data quality and completeness.
• Collaborate with engineering teams to support investigations and continuous improvement using enterprise data resources.
• Prepare technical documentation, presentations, and reports for technical and non‑technical audiences.

Skills

Data analytics

Machine learning

English communication

Statistical methods

Engineering data interpretation

Communication

Education

Bachelor's in STEM

Advanced degree (MS/PhD)

Tools

Python

NumPy

Pandas

PySpark

SQL

Tableau

Power BI

JIRA

Confluence

Job description

RTX in Aguadilla, PR is seeking a Data Analytics Engineer to analyze aircraft services data and develop predictive models for forecasting, reliability, and service improvements. The role blends hands-on data work with collaboration across engineering teams and occasional travel.

The position requires a STEM degree with 2+ years of relevant experience, strong English communication, and practical ML, Python, and data analytics skills.