Data Scientist

@ Sedin Technologies

About the Role

Sedin Technologies is seeking a Data Scientist with strong expertise in predictive modeling, reinforcement learning, and simulation-based analytics. The role involves designing and developing 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 time-shifted risk prediction mechanisms using sliding time windows.
• Reinforcement Learning: Build and train multi-agent reinforcement learning frameworks for cooperative and competitive behaviors.
• Simulation Integration: Collaborate with simulation teams to incorporate ground-truth data for model training and validation.
• Scoring & Evaluation: Build scoring algorithms and 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 inputs.

Requirements

The ideal candidate will have a minimum of 3 years in applied data science, with experience in real-time analytics or simulation-based systems. Technical proficiency in Python, NumPy, Pandas, and deep learning frameworks like PyTorch or TensorFlow is essential. Additional domain expertise in time-series analysis, Bayesian models, and reinforcement learning is preferred.

Preferred Qualifications

Experience with large-scale simulation platforms, cloud environments (AWS, GCP, or Azure), computer vision, or sensor fusion is a plus.

Key skills/competency

• Predictive Modeling
• Reinforcement Learning
• Simulation Analytics
• Risk Analysis
• Python
• Deep Learning
• Time-Series Analysis
• Data Engineering
• Algorithm Development
• Real-time Analytics