Senior Data Scientist - Personalization AI

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At Hyatt, we believe in the power of belonging and creating a culture of care, where our colleagues become family. Since 1957, our colleagues and our guests have been at the heart of our business and helped Hyatt become one of the best and fastest-growing hospitality brands in the world. Our transformative growth and the addition of new hotels, brands, and business lines can open the door for exciting career and growth opportunities for our colleagues. As we continue to grow, we never lose sight of what’s most important : People. We turn trips into journeys, encounters into experiences, and jobs into careers.

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 Hyatt’s models and solutions are developed with fairness, transparency, and integrity.

Qualifications

Strong experience building personalization or recommendation ML models

Demonstrated success with large-scale ML projects (recommendation, search, content marketing)

Proficiency with AWS and GCP platforms

Hands-on experience with cloud-based machine learning models

Familiarity with reinforcement learning and techniques like multi-armed bandits

Solid understanding of optimization techniques (e.g. constraint optimization)

Advanced English proficiency

Domain alignment with machine learning, GenAI, and verbalistic modeling

Compensation package

Seniority level

Seniority level

Executive

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

Industries

Hospitality

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