Senior Data Scientist

PURPOSE:
The Senior Data Scientist will design and implement AI, Machine Learning, and Operations Research models that transform business objectives into data-driven solutions. This role advances ***'s mission by optimizing decisions, improving operations, and enhancing guest experiences through applied analytics and innovation. The position responsibilities outlined below are not all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

POSITION RESPONSIBILITIES:
• 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 ***'s models and solutions are developed with fairness, transparency, and integrity.

EXPERIENCE AND QUALIFICATIONS:
Required Skills -
• 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, GCP) with large datasets.
• Experience with streaming data architectures.
• Experience operating in an Agile Methodology environment.
• Experience with DevOps and CI/CD concepts.
• Excellent communication and teamwork skills.

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.
• Passion for continuous learning and innovation in applied data science.

EDUCATION:
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).

Benefits:
We offer a competitive compensation package that includes:

• Pay Rate: $80-100 per Hour
  • Note: Pay rate will be commensurate with experience.
• Medical for full time employees
• Dental, and Vision Insurance
• Life Insurance, Short-Term Disability, Long-Term Disability, etc.