Senior Data Scientist
Hyatt
full-time
Posted on:
Location Type: Remote
Location: Mexico
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Job Level
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
- 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).
- 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.
Benefits
- Annual allotment of free hotel stays at Hyatt hotels globally
- Flexible work schedule
- 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
- Paid Time Off, Medical, Dental, Vision, 401K with company match
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningoptimization modelsoperations research modelingfeature engineeringmodel evaluationhyperparameter tuningPythonSQLSparkAgile Methodology
Soft skills
communicationteamworkmentoringproblem-solvingcollaborationdocumentationpresentationadaptabilityethical data scienceknowledge-sharing
Certifications
Master’s degreePhD