Senior Data Scientist About the Role: We are seeking a highly motivated Applied Scientist / Machine Learning Engineer to join our Data Science team. This individual will play a key role in enhancing and scaling our existing ML systems and developing new capabilities that support our intelligent decision-making platform. We are looking for team members who: - Are deeply curious and passionate about applying machine learning to real-world problems. - Demonstrate strong ownership and the ability to work independently. - Excel in both technical execution and collaborative teamwork. - Have a track record of shipping products in complex environments. What You'll Do: - Build, train, and deploy machine learning models for forecasting, pricing, and optimization. - Apply advanced techniques like causal inference, counterfactual analysis, and reinforcement learning to improve decision-making under uncertainty. - Work with large-scale, noisy, and temporally complex datasets. - Collaborate cross-functionally with engineering and product teams to move models from research to production. - Design offline evaluation frameworks and simulations to validate new algorithms before live rollout. - Generate interpretable and trusted outputs to support adoption of AI-driven rate recommendations. - Contribute to the development of an AI-first platform that redefines hospitality revenue management. Required Qualifications : - Bachelor's or Masters degree in Computer Science or related field. - 5 to 10 years of hands-on experience in a product-centric company, ideally with full model lifecycle exposure. - Demonstrated ability to apply machine learning to solve real-world business problems. - Proficient in Python and machine learning libraries such as scikit-learn, PyTorch, and XGBoost. - Strong knowledge of forecasting models (time-series and ML-based). - Deep understanding of machine learning and deep learning foundations. - Comfort with optimization under uncertainty and experience in evaluating ML model performance rigorously. - Ability to work independently and manage projects end-to-end. Preferred Experience: - Experience in revenue management, pricing systems, or demand forecasting, particularly within the hotel and hospitality domain. - Applied knowledge of reinforcement learning techniques (e., bandits, Q-learning, model-based control). - Familiarity with causal inference methods (e.g., DAGs, treatment effect estimation). - Strong written and verbal communication skills to explain complex technical concepts clearly to cross-functional teams. - Proven experience in collaborative product development environments, working closely with engineering and product teams

Remote

Senior Data Scientist 

Job Description for Senior Data Scientist  in CUBE CONSULTANCY SERVICES in  Remote for (5-10) years of experience. Apply Now!