Senior Data Analytics & ML Engineer for Aircraft Systems

Prattwhitney

Aguadilla (PR)

Hybrid

USD 110,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance
Three weeks of vacation for newly hired employees
Generous 401(k) plan with employer matching
Life insurance and disability coverage
Employee Assistance Plan with free counseling sessions

Job summary

Prattwhitney in Aguadilla, PR, is seeking a Principal Engineer for Data Analytics & Machine Learning for Mechanical Systems. This hybrid position involves leading various data analyses and machine learning model development to enhance product performance and reliability.

The ideal candidate will have over 8 years of relevant experience in STEM fields, advanced knowledge of Python, and the ability to communicate effectively in English. We offer extensive benefits including medical insurance and a generous 401(k) plan.

Qualifications

  • 8+ years of relevant experience, or 5+ years with an advanced degree.
  • Demonstrated professional communication skills in English (verbal and written).
  • U.S. citizenship required.

Responsibilities

  • Lead analysis of engineering and aircraft performance datasets.
  • Drive development of machine learning models for predictive maintenance.
  • Guide and mentor junior engineers on data analytics methodologies.
  • Serve as technical liaison with various stakeholders.

Skills

Data analytics workflows
Machine learning concepts
Python for data analysis
Statistical methods
Advanced data visualization
Agile methodologies

Education

Bachelor’s or Master’s degree in STEM

Tools

SQL
Tableau
Power BI
TensorFlow
PySpark
JIRA
Confluence

Job description

Prattwhitney in Aguadilla, PR, is seeking a Principal Engineer for Data Analytics & Machine Learning for Mechanical Systems. This hybrid position involves leading various data analyses and machine learning model development to enhance product performance and reliability.

The ideal candidate will have over 8 years of relevant experience in STEM fields, advanced knowledge of Python, and the ability to communicate effectively in English. We offer extensive benefits including medical insurance and a generous 401(k) plan.

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