Data Scientist

2 weeks ago

Chennai, Tamil Nadu, India Sedin Technologies Full time ₹ 12,00,000 - ₹ 36,00,000 per year
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.

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