Not specified (assumed hybrid or on-site based on company culture).
Statistical methods
Machine learning
Data understanding problems
GE Aerospace is seeking a Lead Engineer/Technologist in Bengaluru, India, to work on advanced statistical and machine learning projects in a collaborative environment. The ideal candidate should have significant experience in engineering, particularly within aircraft engines, and a strong foundation in statistics and machine learning
Job Summary
The Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment.
Lead and Execute the analysis / evaluation of assigned projects (around engine operational severity, supporting root cause investigations, and novel ways to predict and limit future occurrences) that meet business standards, practices and procedures and the product / program requirements.
At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen.
Matching Summary
Match Score: 85
GE Aerospace is seeking a Lead Engineer/Technologist in Bengaluru, India, to work on advanced statistical and machine learning projects in a collaborative environment. The ideal candidate should have significant experience in engineering, particularly within aircraft engines, and a strong foundation in statistics and machine learning.
Skills & Requirements
Must-have
statistical methods
machine learning
data understanding problems
engineering technology and tools
programming experience
Nice-to-have
respectful, receptive, agile, eager to learn
transparent, shares critical information
focused, quick learner, strategically prioritizes
leadership ability, strong communicator
problem solver, analytical-minded
Key Requirements
Bachelors Degree in Engineering, Statistics, Machine Learning or related field with 6+ years of experience
At least 3 years’ experience in aircraft engines turbo machinery dynamics/ performance/mechanical design/engineering tools
Ability to communicate effectively with all levels of the organization