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, pricing, and promotional optimization. Your work will directly impact revenue strategies, helping the business maximize value through intelligent pricing and promotion decisions. Responsibilities - Design, build, and optimize RL models for real-world applications, including dynamic pricing and promotion strategies. - Collaborate with cross-functional teams (product, marketing, revenue management) to integrate models into existing platforms. - Analyze complex datasets to identify opportunities for price optimization and promotional effectiveness. - Conduct A/B tests and simulations to validate model performance in pricing and promotions. - Document and present findings, algorithms, and model behavior clearly to technical and non-technical stakeholders. Requirements - Proven and certified experience in Reinforcement Learning (RL). - Demonstrated experience in pricing optimization, promotion modeling, or revenue management analytics. - 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. - Prior work with retail, e-commerce, or consumer goods companies on pricing and promotions. #J-18808-Ljbffr