Data Scientist

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, Num. Py, 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