Senior Data Scientist - Decision Science

Hyatt; Estado de México; On-site; MXN 800,000 - 1,200,000; Full time

Benefits offered by this job

Annual hotel stays at Hyatt hotels globally

Family assistance policy for new parents

Job summary

A leading hospitality company is looking for a Senior Data Scientist to join their Decision Science team in Mexico City. This role involves applying advanced AI, Machine Learning, and Operations Research techniques to real-world business challenges, ensuring data-driven solutions align with company goals. Required qualifications include a Master's degree or PhD and proficiency in optimization tools like GUROBI, among others. Candidates should have strong communication skills in English and the ability to work in a hybrid setting. Competitive salary and exceptional corporate benefits offered.

Qualifications

• 5 years of experience in data science or 2 years if PhD holder.
• Proficiency in tools for optimization and AI/ML.
• Ability to work cross-functionally in digital teams.

Responsibilities

• Translate business problems into data science projects.
• Design, implement, and optimize machine learning models.
• Collaborate with cross-functional teams and monitor models.

Skills

Optimization & Operations Research

Advanced English

Machine Learning

Collaboration

Education

Master's Degree or PhD in a related field

Tools

GUROBI

Python

AWS

Job description

Senior Data Scientist - Decision Science

Senior Data Scientist - Decision Science

Direct message the job poster from Hyatt

Hyatt Hotels Corporation seeks an enthusiastic Senior Data Scientist to join our Data Science/Decision Science team. In this role, you will translate business objectives into advanced AI, Machine Learning, and Operations Research models, help build data-driven decision-making solutions across key areas of the business, and directly contribute to Hyatt’s mission of delivering a distinctive experience for our guests. You will have the opportunity to tackle complex business challenges by applying cutting-edge machine learning and operations research techniques, with a focus on building optimization models and decision-support assets. As part of a growing, collaborative, and highly visible Data Science team, you will work alongside talented professionals in data analytics, machine learning, and Generative AI, all passionate about transforming the future of hospitality through the power of data science. You will be part of a team that is passionate about our purpose, committed to nurturing curiosity and new skills, and building connections across the organization with colleagues, customers, and guests.

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.

Required Skills

• Experience in Optimization & Operations Research:

Proficiency with tools like GUROBI or similar

Ability to design and implement occupational/optimization models

AWS experience

Ability to work cross-functionally with digital teams, PMs, and stakeholders

Demonstrated business impact and knowledge sharing

• Education:

At least 5 years of experience (or 2 years if PhD holder)

• Language:

Advanced English proficiency

• Location & Availability:

Hybrid in Mexico City (2-3 days onsite)

• Tools & Platforms:

Additional optimization or ML tools beyond GUROBI/Python

Awareness of cutting-edge advancements in AI/ML

We’re proud to offer exceptional corporate benefits, which include:

• Annual allotment of free hotel stays at Hyatt hotels globally
• 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

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Hospitality

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