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