Job Title: Data Scientist (Reinforcement Learning) Location: Remote – Latin America Preferred Type: Full-Time | Remote Compensation: Market Rates About the Role We are seeking a skilled Data Scientist with certified experience in Reinforcement Learning (RL) to join our growing team. You will play a key role in developing and deploying advanced machine learning models focused on decision-making and learning systems. Responsibilities - Design, build, and optimize RL models for real-world applications. - Collaborate with cross-functional teams to integrate models into existing platforms. - Analyze complex datasets to drive insights and model performance improvements. - Document and present findings, algorithms, and model behavior clearly. Requirements - Proven and certified experience in Reinforcement Learning (RL). - Strong programming skills in Python and common ML libraries (e.g., TensorFlow, PyTorch). - Solid understanding of statistical modeling, machine learning, and optimization techniques. - Ability to work independently and communicate effectively in English. Preferred Qualifications - Experience deploying RL models in production environments. - Knowledge of related fields such as supervised/unsupervised learning, deep learning, or simulation environments. - Master’s or Ph.D. in Computer Science, Data Science, Applied Mathematics, or related field.