Senior Data Scientist (Remote Opportunity)

Hyatt Hotels Corp.-posted about 1 month ago

$130,000 - $170,000/Yr

Full-time • Mid Level

Remote • Chicago, IL

5,001-10,000 employees

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Hyatt Hotels Corporation seeks an enthusiastic Senior Data Scientist - Forecasting to join our Data Science team. In this role, you will design, build, and deploy predictive forecasting solutions that directly impact business planning and operational excellence across Hyatt's global portfolio. You will own Hyatt's forecasting platform, leading end-to-end model development using statistical, machine learning, and deep learning techniques. You will also apply causal inference methods to identify business drivers, measure policy impacts, and support strategic decision-making. 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 diversity, equity and inclusion, committed to nurturing curiosity and new skills, and building connections across the organization with stakeholders, colleagues and guests. 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 to 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. This is an exciting time to be at Hyatt. We are growing rapidly and are looking for passionate changemakers to be a part of our journey. The hospitality industry is resilient and continues to offer dynamic opportunities for upward mobility, and Hyatt is no exception. What sets us apart is our purpose-to care for people so they can be their best. Every business decision is made through the lens of our purpose, and it informs how we have and will continue to support each other as members of the Hyatt family. Our care for our colleagues is the key to our success. We're proud to have earned a place on Fortune's prestigious 100 Best Companies to Work For list for the last ten years. This recognition is a testament to the tremendous way our Hyatt family continues to come together to care for one another, our commitment to a culture of inclusivity, empathy and respect, and making sure everyone feels like they belong.

Own and lead the end-to-end development of Hyatt's forecasting platform, building scalable pipelines and advanced time series models for multi-segment and property-level demand, occupancy, and revenue forecasting, with full ownership of model selection, back-testing, deployment, and performance optimization in production.
Design, develop, and maintain anomaly detection to identify irregularities in forecasted and historical KPIs, enabling automated alerts and proactive issue detection.
Apply causal inference and causal graph methodologies to identify true performance drivers and generate actionable insights for decision-making.
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

Master's degree in Statistics, Computer Science, Applied Mathematics, or related field required; PhD preferred.
5 years of hands-on experience in predictive modeling, time series forecasting, causal inference, and anomaly detection.
Expertise in time series modeling, including trend, seasonality, stationarity, and autocorrelation (ACF/PACF), with proficiency in feature engineering and forecast validation using RMSE, MAE, MAPE, and SMAPE.
Proven experience with forecasting models such as ARIMA, SARIMA, Exponential Smoothing, Holt-Winters, Google TimeFM, and deep learning architectures (LSTM/RNN), including experience leveraging hybrid and ensemble modeling techniques for large-scale forecasting applications.
Strong expertise in causal modeling, including causal discovery (e.g., PCMCI, conditional independence tests) and causal inference methods (e.g., mediation analysis, linear models) to identify and quantify cause-and-effect relationships.
Experience developing and implementing anomaly detection systems using statistical or machine learning methods (e.g., Isolation Forest, LOF, autoencoders) to identify data irregularities and forecast deviations.
Expertise in Python (Pandas, NumPy, Scikit-Learn, Statsmodels, TensorFlow, PyTorch) and SQL.
Experience in developing and deploying solutions in AWS with large datasets.
Experience working in Agile environments with DevOps and CI/CD best practices.
Excellent communication and teamwork skills.

Experience in automating data workflows using Apache Airflow (or equivalent orchestration tools).
Experience integrating external data sources such as STR market data, macroeconomic and market indicators.
Knowledge of hierarchical time series reconciliation, multi-segment forecasting.
Strong understanding of Finance forecasting - e.g., RevPAR, rooms sold, gross operating profit.
Experience designing scenario forecasting and what-if analysis tools.

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

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