Data Scientist

• Expertise in operations research modeling (LP, IP, MIP) and tools (CPLEX, Gurobi, etc).
• Expertise in building machine learning models, including supervised, unsupervised, and deep learning methods
• Expertise in feature engineering, model evaluation, and hyperparameter tuning.
• Expertise in Python, SQL, and Spark, and a broad array of machine learning frameworks (Scikit-Learn, XGBoost, TensorFlow, PyTorch, MXNet, LLM, etc).
• Experience in developing and deploying solutions in a Cloud environment (AWS, Azure, Google Cloud Platform) with large datasets.
• Experience with streaming data architectures.
• Experience operating in an Agile Methodology environment.
• Experience with DevOps and CI/CD concepts.

PREFERRED SKILLS:

• Exposure to hospitality, travel, or service industry data and optimization use cases.

• Strong understanding of data architecture and MLOps best practices.
• Proven ability to translate complex analytics into business impact.