Senior Data Scientist

Contractor role to start with opportunity to convert permanently

Required Skills & Experience

• Master’s degree in computer science, statistics, industrial engineering, or related fields required, PhD preferred.

• 5+ years of experience in data science, operations research, or related area (2+ years for candidates with PhD).

• Expertise in operations research modeling (LP, IP, MIP) and tools (CPLEX, Gurobi, etc).

• Mathematic programming, linear programming, Integer programming, and MIP (mixed Integer programming).

• Decision science background

- Experience building optimization models from scratch to solve problems and make decisions for the marketing team

• Experience in developing and deploying solutions in a Cloud environment (AWS, Azure, GCP) with large datasets.

• 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 with streaming data architectures.

• Experience operating in an Agile Methodology environment.

• Experience with DevOps and CI/CD concepts.

• Excellent communication and teamwork skills.

Nice to Have Skills & Experience

- AWS

- Someone who has worked in supply chain, retail, logistics, and manufacturing would be a good fit

- Exposure to hospitality/hotel industry

- Built models for marketing teams

Job Description

This is a large global hotel company, and this Data Scientist needs to have hands on experience building optimization models from scratch to optimize marketing campaigns and prioritize resources for sales teams. This role requires deep understanding of ML modeling and deep understanding of optimization model (mathematic programming, operations research, etc). They need to build the optimization model from scratch to solve problems and make decisions for the marketing team.

Responsibilities will include:

• Translate business problems in a variety of business areas into well-defined data science projects, ensuring alignment with business goals, scope, and defined KPIs.

• Design, implement, and optimize advanced machine learning and optimization models to address complex business challenges.

• Collaborate with cross-functional teams, including engineering, data, and business stakeholders, ensuring clear communication, seamless integration of data-driven solutions.

• Monitor model performance in production, refining algorithms and processes to adapt to real-world data and evolving business needs.

• Create and maintain detailed documentation for models, methodologies, and workflows to support team knowledge-sharing.

• Conduct testing and validation of models to ensure robustness, scalability, and reliability in production environments.

• Present data-driven insights, findings, and product outcomes to stakeholders in a clear, actionable manner.

• Stay updated on the latest advancements in machine learning and optimization, integrating innovative techniques and tools into projects.

• Mentor junior data scientists by providing technical guidance, reviewing work, and fostering their professional development.

• Demonstrate a commitment to ethical data science, ensuring Hyatt’s models and solutions are developed with fairness, transparency, and integrity.