Senior Data Scientist - Personalization AI

Hyatt

Ciudad de México

Presencial

MXN 800.000 - 1.200.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Annual hotel stay allotments

Wellbeing initiatives

Global family assistance policy

Descripción de la vacante

Hyatt is seeking an experienced Data Scientist to enhance its data-driven decision-making capabilities. This role involves developing machine learning models, collaborating with teams to integrate solutions, and ensuring the ethical use of data. Candidates should have a strong background in ML and cloud platforms like AWS and GCP, and be proficient in English. Join Hyatt to transform business challenges into impactful solutions within a leading hospitality brand.

Formación

Strong experience building personalization or recommendation ML models.
Demonstrated success with large-scale ML projects.
Hands-on experience with cloud-based machine learning models.

Responsabilidades

Translate business problems into well-defined data science projects.
Design, implement, and optimize advanced machine learning models.
Monitor model performance and refine algorithms based on real-world data.

Conocimientos

Machine Learning

Data Analysis

Cloud Computing

Optimization Techniques

Educación

Advanced English proficiency

Degree in Data Science or related field

Herramientas

AWS

GCP

Descripción del empleo

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Direct message the job poster from Hyatt

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

Technical Knowledge:

Familiarity with reinforcement learning and techniques like multi-armed bandits

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

Education:
Language & Domain Fit:

Advanced English proficiency

Domain alignment with machine learning, GenAI, and verbalistic modeling

Experience defining KPIs, project scoping, and driving measurable business impact
Ability to mentor junior data scientists and foster knowledge-sharing

Compensation package

Annual allotment of free hotel stays at Hyatt hotels globally
Work-life benefits including wellbeing initiatives such as a complimentary Headspace subscription, and a discount at the on-site fitness center
A global family assistance policy with paid time off following the birth or adoption of a child as well as financial assistance for adoption

Seniority level