Senior Data Scientist - Machine Learning

<p><p><b>About the Role :</b> <br/><br/>We are seeking a highly motivated Applied Scientist / Machine Learning Engineer to join our Data Science team.<br/><br/> 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.<br/><br/>We are looking for team members who :<br/><br/>- Are deeply curious and passionate about applying machine learning to real-world problems.<br/><br/>- Demonstrate strong ownership and the ability to work independently.<br/><br/>- Excel in both technical execution and collaborative teamwork.<br/><br/>- Have a track record of shipping products in complex Youll Do :</b></p><p><br/>- Build, train, and deploy machine learning models for forecasting, pricing, and optimization.<br/><br/>- Apply advanced techniques like causal inference, counterfactual analysis, and reinforcement learning to improve decision-making under uncertainty.<br/><br/>- Work with large-scale, noisy, and temporally complex datasets.<br/><br/>- Collaborate cross-functionally with engineering and product teams to move models from research to production.<br/><br/>- Design offline evaluation frameworks and simulations to validate new algorithms before live rollout.<br/><br/>- Generate interpretable and trusted outputs to support adoption of AI-driven rate recommendations.<br/><br/>- Contribute to the development of an AI-first platform that redefines hospitality revenue Qualifications :</b></p><p><br/>- Bachelor's or Masters degree in Computer Science or related field.<br/><br/>- 510 years of hands-on experience in a product-centric company, ideally with full model lifecycle exposure.<br/><br/>- Demonstrated ability to apply machine learning to solve real-world business problems.<br/><br/>- Proficient in Python and machine learning libraries such as scikit-learn, PyTorch, and XGBoost.<br/><br/>- Strong knowledge of forecasting models (time-series and ML-based).<br/><br/>- Deep understanding of machine learning and deep learning foundations.<br/><br/>- Comfort with optimization under uncertainty and experience in evaluating ML model performance rigorously.<br/><br/>- Ability to work independently and manage projects Experience :</b></p><p><br/>- Experience in revenue management, pricing systems, or demand forecasting, particularly within the hotel and hospitality domain.<br/><br/>- Applied knowledge of reinforcement learning techniques (e., bandits, Q-learning, model-based control).<br/><br/>- Familiarity with causal inference methods (e., DAGs, treatment effect estimation).<br/><br/>- Strong written and verbal communication skills to explain complex technical concepts clearly to cross-functional teams.<br/><br/>- Proven experience in collaborative product development environments, working closely with engineering and product teams</p><br/></p> (ref:hirist.tech)