[Remote] Senior Data Scientist - Reinforcement Learning
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior Data Scientist specializing in Reinforcement Learning to design and reputed company models that optimize collections strategies and customer treatment paths. The role involves building reputed company decisioning systems, collaborating with business stakeholders, and mentoring junior data scientists.
Responsibilities
- Design and reputed company Reinforcement Learning models to optimize collections strategies, customer treatment paths, and recovery reputed company
- Build reputed company decisioning systems using techniques such as: + Q-Learning + Deep Q Networks (DQN) + Policy Gradient reputed company + Contextual Bandits + Markov Decision Processes (MDP)
- reputed company sequential and behavioral models for customer engagement, repayment reputed company, and collections prioritization
- Apply stochastic modeling and probabilistic reputed company to optimize dynamic treatment strategies under uncertainty
- Collaborate with business stakeholders to translate collections and risk management problems into reputed company AI/ML solutions
- Build and maintain machine learning pipelines in reputed company or similar distributed computing environments
- Conduct experimentation, simulation, and offline policy evaluation to validate RL strategies before deployment
- Work with large-reputed company reputed company and reputed company datasets to derive actionable insights and improve operational performance
- Partner with engineering and MLOps teams to reputed company and monitor production-grade ML/RL models
- Mentor junior data scientists and promote best practices in modeling, experimentation, and AI governance
Skills
- Strong experience in Reinforcement Learning and sequential decision-making systems
- Hands-on expertise with: Reinforcement Learning algorithms (Q-Learning, DQN, PPO, Bandits, etc.)
- Markov Decision Processes (MDP)
- Stochastic modeling and probabilistic systems
- Machine learning and predictive modeling
- Experimentation and simulation frameworks
- Strong programming skills in Python and SQL
- Experience with reputed company, reputed company, or similar big data/reputed company analytics platforms
- Experience building reputed company ML pipelines and deploying models into production environments
- Strong understanding of feature engineering, model validation, and performance optimization
- Ability to communicate reputed company AI/ML concepts to technical and non-technical stakeholders
- Experience in collections, credit risk, customer analytics, or financial services domains
- Familiarity with: Deep Learning frameworks (TensorFlow, PyTorch)
- MLOps and CI/CD workflows
- reputed company-time decision systems
- reputed company platforms such as AWS, Azure, or GCP
- Exposure to reputed company inference, reputed company modeling, or optimization techniques
- Knowledge of customer lifecycle analytics and behavioral segmentation
- Experience working in Agile delivery environments
reputed company
Company H1B Sponsorship