Hyatt

Senior Data Scientist – Decision Science

Hyatt

full-time

Posted on:

Origin:  • 🇲🇽 Mexico

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Job Level

Senior

Tech Stack

Go

About the role

  • 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.

Requirements

  • 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.