Posted 21 May, 2026
Data Science Engineer
Aditi Consulting
Chennai,600113
Full Time
Reference: 365_718667_25-03324
Role Overview:
We're hiring a Data Scientist to develop models for predicting traffic behavior scenarios using data from simulations and real-world sources. You'll work on reinforcement learning, complex event detection, and probabilistic forecasting for real-time decision-making in autonomous systems and smart infrastructure.
Responsibilities:
•
Design predictive models for trajectory forecasting, traffic participant's behavior, and crossing probabilities.
•
Develop risk scoring mechanisms using time-shifted risk prediction and sliding time windows.
•
Implement multi-agent reinforcement learning (MARL) frameworks to simulate and train cooperative behaviors.
•
Work with simulation teams to integrate ground truth scenarios and replayable datasets.
•
Build scoring algorithms for different data dimensions based on the severity and impact.
•
Evaluate model performance using precision, recall, and event-level accuracy.
•
Collaborate with data engineers to define feature pipelines and streaming inputs.
Requirements:
•
3+ years of experience in applied data science, preferably in real-time or simulation-based environments.
•
Strong proficiency in Python, NumPy, Pandas, and deep learning frameworks like PyTorch or TensorFlow.
•
Experience with time-series analysis, Bayesian models, or probabilistic forecasting.
•
Understanding of reinforcement learning, especially multi-agent settings.
•
Knowledge of vehicle kinematics, trajectory forecasting, or intelligent transportation systems.
Nice To Have:
•
Experience with simulation environments like CARLA, SUMO or VISSIM simulation data.
•
Prior work on ADAS, or smart city risk management.
•
Familiarity with CEP engines or event stream analytics tools.
•
Understanding data fusion from camera, LiDAR and other infrastructure inputs.
Location: Chennai/Bangalore
We're hiring a Data Scientist to develop models for predicting traffic behavior scenarios using data from simulations and real-world sources. You'll work on reinforcement learning, complex event detection, and probabilistic forecasting for real-time decision-making in autonomous systems and smart infrastructure.
Responsibilities:
•
Design predictive models for trajectory forecasting, traffic participant's behavior, and crossing probabilities.
•
Develop risk scoring mechanisms using time-shifted risk prediction and sliding time windows.
•
Implement multi-agent reinforcement learning (MARL) frameworks to simulate and train cooperative behaviors.
•
Work with simulation teams to integrate ground truth scenarios and replayable datasets.
•
Build scoring algorithms for different data dimensions based on the severity and impact.
•
Evaluate model performance using precision, recall, and event-level accuracy.
•
Collaborate with data engineers to define feature pipelines and streaming inputs.
Requirements:
•
3+ years of experience in applied data science, preferably in real-time or simulation-based environments.
•
Strong proficiency in Python, NumPy, Pandas, and deep learning frameworks like PyTorch or TensorFlow.
•
Experience with time-series analysis, Bayesian models, or probabilistic forecasting.
•
Understanding of reinforcement learning, especially multi-agent settings.
•
Knowledge of vehicle kinematics, trajectory forecasting, or intelligent transportation systems.
Nice To Have:
•
Experience with simulation environments like CARLA, SUMO or VISSIM simulation data.
•
Prior work on ADAS, or smart city risk management.
•
Familiarity with CEP engines or event stream analytics tools.
•
Understanding data fusion from camera, LiDAR and other infrastructure inputs.
Location: Chennai/Bangalore
