Data Scientist

Job Title: Data Scientist

📍 Location: Chennai
💼 Experience: 4+ Years
🕒 Employment Type: Full-time

About the Role

We are seeking a Data Scientist with strong expertise in predictive modeling, reinforcement learning, and simulation-based analytics. The ideal candidate will design and develop advanced algorithms for trajectory forecasting, behavior prediction, and risk analysis in dynamic, real-time environments.

Key Responsibilities

• Predictive Modeling: Design and implement models for trajectory forecasting, traffic participant behavior, and crossing probability estimation.

• Risk Assessment: Develop and maintain time-shifted risk prediction mechanisms using sliding time windows.

• Reinforcement Learning: Build and train multi-agent reinforcement learning (MARL) frameworks to simulate cooperative and competitive behaviors.

• Simulation Integration: Collaborate with simulation teams to incorporate ground-truth data and replayable scenarios for model training and validation.

• Scoring & Evaluation:

  • Build scoring algorithms across multiple data dimensions based on severity and impact.

  • Evaluate model performance using metrics such as precision, recall, and event-level accuracy.

• Collaboration: Partner with data engineers to design scalable feature pipelines and real-time streaming data inputs.

Requirements

• Experience: Minimum 3 years in applied data science, preferably in real-time analytics or simulation-based systems.

• Technical Skills:

  • Strong proficiency in Python, NumPy, and Pandas.

  • Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow.

• Domain Knowledge:

  • Expertise in time-series analysis, Bayesian models, or probabilistic forecasting.

  • Understanding of reinforcement learning, particularly in multi-agent environments.

  • Familiarity with vehicle kinematics, trajectory forecasting, or intelligent transportation systems (ITS).

• Soft Skills: Excellent analytical thinking, problem-solving ability, and collaboration skills in cross-functional environments.

Preferred Qualifications (Optional)

• Experience working with large-scale simulation platforms or real-world traffic datasets.

• Familiarity with cloud environments such as AWS, GCP, or Azure.

• Background in computer vision or sensor fusion is a plus.