Senior Data Scientist, Reinforcement Learning
New
K
Kyotu TechnologyEnergy management
100% remote workContractSenior
Salary140 - 180 PLN per hour
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Job Details
- Languages
- English at B2 level or higher
- Required Skills
- PythonGitNumpyPyTorchPandasTensorflow
Requirements
- Have commercial, hands-on experience developing, training, and evaluating reinforcement learning models.
- Have practical experience with RL algorithms such as PPO, DQN, or similar approaches.
- Be able to independently design RL environments, including reward functions, state representations, action spaces, and constraints.
- Have experience evaluating RL agent performance, debugging training processes, and improving policies.
- Understand mathematical optimization, including objective functions, constraints, and optimization-based decision-making.
- Be able to formulate optimization problems involving discrete and continuous variables.
- Have strong Python programming skills and practical experience with PyTorch, TensorFlow, or similar ML frameworks.
- Have very good knowledge of pandas and NumPy.
- Have experience training, evaluating, and comparing machine learning models and deploying them into production.
- Have experience writing clean, maintainable, and testable Python code and using Git.
- Have English proficiency at B2 level or higher.
Responsibilities
- Design, train, evaluate, and improve reinforcement learning models for energy management and optimization.
- Develop mathematical optimization models to benchmark and validate RL-based solutions.
- Define RL environments, including reward functions, state and action spaces, and operational constraints.
- Build and improve simulations of battery storage systems, photovoltaic installations, and energy flows.
- Experiment with RL algorithms and optimization approaches to identify effective control strategies.
- Analyze agent behavior, troubleshoot training issues, and improve model performance.
- Compare RL policies against mathematical optimization models and baseline strategies.
- Test solutions across different consumption patterns, installation configurations, and market conditions.
- Process and analyze energy consumption, renewable production, weather, and electricity pricing data.
- Occasionally contribute to electricity price forecasting models.
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