Job Responsibilities :
Work with road accident databases: RASSI, GDAS, CDAS, STRADA
Analyze accident environment, vehicle behavior, and human factors
Conduct ADAS/AEB/FCW simulations using pre-crash time-series datasets
- Understand Telematics Control Unit (TCU) and IoT vehicle data
Perform time-series analysis, signal processing, feature engineering
Lead accident data cleanup, ETL preparation, and validation
Conduct exploratory data analysis and present insights
Develop ML/DL models, optimize, validate, and deploy models
Visualize trajectories, impact points, TTC metrics
Mentor junior analysts in automotive data analytics
Technical Skills - Essential
Minimum 4 years in data analytics, crash analysis, or ADAS systems
Hands-on work with RASSI / GDAS / CDAS / STRADA
Strong Python skills (pandas, NumPy, matplotlib, sklearn)
Statistical analysis & ML technique
Deep Learning: RNN, LSTM, GRU
Experience with pre-crash telemetry/ time-series data
Model deployment awareness
Technical Skills - Desirable
Accident simulation: PC-Crash, OpenPASS
Exposure to ADAS, CAN protocol, vehicle dynamics
IoT/Telematics analytics experience
Tableau/PowerBI visualization
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