We are pleased that you are exploring Hyatt Hotels Corporation. We believe our customers select Hyatt because of our caring and attentive associates who work hard to provide efficient service and meaningful experiences. We care about our associates and our customers. This is the Hyatt Touch. Our commitment to Diversity is best evidenced by our focus on company-wide diversity initiatives. We continue to be recognized as one of America's best companies for minorities in rankings based on information about recruiting and employment practices. Associates of Hyatt are given the tools from the first day to make a difference. Hyatt offers comprehensive and competitive benefits for all associates. Hyatt associates work in an environment that demands exceptional performance, yet reaps great rewards - whether it's career opportunities, job enrichment or a supportive working environment. If you are ready for this challenge, then we are ready for you. Come meet the people with the Hyatt touch.
At Hyatt, we're working to Advance Care through data-driven decisions and automation. This mission serves as the foundation for every decision as we create the future of travel. We can't do that without the best talent - talent that is innovative, curious, and driven to create exceptional experiences for our guests, customers, owners and colleagues.
Hyatt seeks an extraordinary data scientist to help build the algorithmic assets and features that Hyatt guests, members, customers and internal users leverage to transform the guest experience and drive efficiencies across the operations of our business.
In this role you will lay the foundations of forecasting at Hyatt focusing on strategic and tactical forecasts for a variety of disciplines, ranging from top-level company KPIs to granular hotel-level forecast. Secondary responsibilities may flex across data science initiatives as needed such as experimentation, machine learning modelling, and optimization.
You will be a part of a ground-floor, hands-on, highly visible team which is positioned for growth and is highly collaborative and passionate about data science.
Applying the latest techniques and approaches across the domains of data science, machine learning, and AI isn't just a nice to have, it's a must.

• Define and build the forecasting culture and capabilities at Hyatt.
• Evangelize and gain alignment for data-driven forecasting throughout the business.
• Hands-on developer and owner of internal code/process which fuels our forecasting across a variety of products such as, but not limited to: loyalty enrollment forecast, hotel demand forecast, member penetration forecast, driver analysis, anomaly detection etc.
• Stay up to date with latest forecasting research and how it can be applied to Hyatt's business.
• Work collaboratively with other data scientists and business partners to ensure proper execution/integration of forecasting products.
• Report on forecast accuracy, bias, and incremental business impact with a commitment to ethical data science.
• Demonstrate holistic thinking, strategic agility, and leadership with all levels of the organization.
• Lead and train direct reports as the function scales.

The ideal candidate demonstrates a commitment to Hyatt core values: respect, integrity, humility, empathy, creativity, and fun.
Qualifications

• Master's degree in computer science, statistics, or related fields required.
• 5+ years of data science experience with a focus on forecasting, hospitality experience not required.
• Expertise in Python and SQL, additional software experience preferred ie Docker, Spark.
• Expertise in traditional and modern forecasting methods (ARIMA, RNN, LSTM, etc)
• Expertise with time-series concepts (seasonality decomposition/adjustment, stationarity, auto-correlation etc)
• Experience with the latest open source forecasting platforms preferred (Prophet, Orbit, Greykite, etc)
• Experience operating in a cloud environment (AWS, 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.
• Position will require customer-facing interaction and collaboration.