
Senior Lead Engineer – Data Analytics
RTX
full-time
Posted on:
Location Type: Hybrid
Location: Bangalore • India
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Job Level
Tech Stack
About the role
- Develop physics based analytics & physics informed machine learning–based analytics for sensory data from aircraft systems (e.g., engines, actuators, fuel and air conditioning systems).
- Work closely with SMEs, design engineers, and PHM teams to understand the physical behavior of systems and translate it into analytical models.
- Analyze and process large-scale time-series data using Databricks, PySpark, and distributed computing frameworks.
- Develop fault detection, degradation tracking, and anomaly detection algorithms using statistical and ML methods.
- Integrate physics-based features (derived from thermodynamics, fluid mechanics, or system modeling) with ML models for improved interpretability and accuracy.
- Perform feature engineering, dimensionality reduction, and signal fusion across multiple sensors and systems.
- Validate and verify analytics using test data and SME feedback, ensuring physical consistency and robustness.
- Collaborate in the development of digital twins, prognostics and health management (PHM) models, and predictive maintenance frameworks.
Requirements
- Bachelors / Masters in Mechanical /Aeronautical / Electrical / Data Science
- Python (Pandas, Numpy , Matplotlib, Seaborn, Scikit learn, Tensorflow )
- Well versed with PHM (Prognostic Health Monitoring) concepts of feature engineering, anomaly detection, model performance metrics, signal processing, statistical analysis
- Knowledge on Physics based analytics & physics informed Machine Learning approaches
- Solid foundation in machine learning algorithms (regression, classification, anomaly detection, time-series forecasting).
Benefits
- Meal coupons
- Group Term Life Insurance.
- Group Health Insurance.
- Group Personal Accident Insurance.
- Entitled for 18 days of vacation and 12 days of contingency leave annually.
- Employee scholar programme.
- Work life balance.
- Car lease programme.
- National Pension Scheme
- LTA
- Fuel & Maintenance /Driver wages
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonPandasNumpyMatplotlibSeabornScikit learnTensorflowmachine learning algorithmsfeature engineeringanomaly detection
Certifications
Bachelors in Mechanical EngineeringBachelors in Aeronautical EngineeringBachelors in Electrical EngineeringBachelors in Data ScienceMasters in Mechanical EngineeringMasters in Aeronautical EngineeringMasters in Electrical EngineeringMasters in Data Science