Job Responsibilities :
− Work with road accident databases: RASSI, GDAS, CDAS, STRADA

− Analyze accident workplace, 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

📌 Data Scientist (India)
🏢 Maruti Suzuki India
📍 India