Data Scientist (ML)

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 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