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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
Maruti Suzuki India Limited, formerly known as Maruti Udyog Limited, is an Indian automobile manufacturer, based in New Delhi. It was founded in 1981 and owned by the Government of India until 2003, when it was sold to the Japanese automaker Suzuki Motor Corporation. As of February 2022 Maruti Suzuki has a market share of 44.2 percent in the Indian passenger car market.
Job ID: 145205111
