Data Science Leader
Job Summary :
We're seeking a visionary data science leader to spearhead the development of intelligent decision systems, empowering our global B2B hotel marketplace. As a key player in our AI-accelerated culture, you'll leverage machine learning, optimization, and product engineering to drive revenue growth, conversion rates, and market efficiency.
Key Responsibilities :
- Design and implement predictive models for dynamic pricing, availability prediction, and real-time hotel demand optimization.
- Develop and maintain scalable data pipelines and feature stores supporting large-scale model training and inference.
- Apply Bayesian inference, causal modeling, and reinforcement learning techniques to drive adaptive decision platforms.
- Build ranking and recommendation systems for personalization, relevance, and supply visibility.
- Integrate Large Language Models (LLMs) into production workflows, focusing on contract parsing, metadata extraction, and mapping resolution.
- Operationalize ML + LLM pipelines on Databricks / AWS for training, inference, and monitoring.
- Deploy and monitor models in production with strong observability, tracing, and SLO ownership.
- Run A / B experiments and causal validation to measure real business impact.
- Collaborate cross-functionally with engineering, data platform, and product teams to translate research into scalable production systems.
Requirements :
5–9 years of hands-on experience in Applied Machine Learning / Data Science.Strong proficiency in Python, PySpark, and SQL.Experience developing models for ranking, pricing, recommendation, or forecasting at scale.Hands-on with PyTorch or TensorFlow for real-world ML / DL use cases.Strong grasp of probabilistic modeling, Bayesian methods, and causal inference.Practical experience integrating LLM / GenAI workflows into production.Experience with Databricks, Spark, or SageMaker for distributed training and deployment.Familiar with experiment platforms, MLflow, and model observability best practices.Strong business understanding and ability to communicate model impact to product stakeholders.Nice to Have :
Background in travel-tech, marketplace, or pricing / revenue optimization domains.Experience in retrieval, semantic search, or content-based information retrieval.Familiarity with small language model (SLM) optimization for cost-efficient inference.Prior work on RL / bandit-driven decision systems or personalization engines.Experience designing AI-assisted developer workflows using tools like Cursor, Claude, or Code Interpreter.Why Join Us?
Join a pioneering team driving innovation in AI-powered decision systems, shaping the future of our global B2B hotel marketplace.