United States
Our foundation in family goes back to 1957, when entrepreneur Jay Pritzker purchased the original Hyatt House motel. Pritzker and his brother, Donald, worked to grow the Hyatt brand, powered by their belief in the importance of family and care. As of March 31, 2020, Hyatt is a global hospitality company with 20 premier brands and more than 900 hotel, all-inclusive, and wellness resort properties in over 65 countries across six continents.With more than 127,000 colleagues across 65 countries, we embrace all cultures, races, ethnicities, genders, sexual orientations, ages, abilities, perspectives, and ways of thinking. Our culture is one that empowers every individual to be his or her best, and such authentic connection inspires the way we care for each other and for our guests.Be a part of something bigger. Enjoy life every day. Make a difference in the lives of those around you. Love where you work. Join a company that values respect, integrity, humility, empathy, creativity, and fun. With careers spanning the globe, your perfect opportunity awaits. Discover why Hyatt is consistently ranked one of the world’s best places to work.
Industry : Hotels & Resorts
Department : Other Department
Location : Chicago, United States
Level : Staff Line level
Posted : 22 Nov 2024
Job Role : Other Role
Recruiter : Hyatt Hotels
Job Ref : HOZ74143
Employment Type: Permanent
Job Type :
Validate Through : 2024-12-20
Salary Description: Competetive Salary Offered
Description
The Opportunity
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 have the opportunity to work on a wide variety of data science projects across Personalization, Generative AI, Forecasting, and Decision Science.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 machine learning and AI.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. You will be part of a team passionate about diversity, equity, and inclusion, committed to nurturing curiosity and new skills and building connections with stakeholders, colleagues, and guests across the organization.
Who We Are
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 guests have been at the heart of our business and helped Hyatt become one of the world's best and fastest-growing hospitality brands. Our transformative growth and the addition of new hotels, brands, and business lines can open the door for exciting career and growth opportunities for 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.
Why Now?
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.
How We Care for Our People
Our purpose sets us apart-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 how 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.
We're proud to offer exceptional corporate benefits which include:
•Annual allotment of free hotel stays at Hyatt hotels globally
•Flexible work schedules
•Work-life benefits including well-being 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
Our Commitment to Diversity, Equity, and Inclusion
Our success is underpinned by our diverse, equitable, and inclusive culture and we are committed to diversity across the board-from whom we hire and develop, the organizations we support, and whom we buy from and work with.
Being part of Hyatt means always having space to be you. Our global teams are a mosaic of cultures, ethnicities, genders, ages, abilities, and identities. We constantly strive to reflect the world we care for with teams that achieve and grow together. To learn more about our commitments to DE&I, please visit the Why Hyatt section of the Hyatt career page.
Who You Are
As our ideal candidate, you understand the power and purpose of our Culture of Care and embody our core values of Empathy, Inclusion, Integrity, Experimentation, Respect, and Well-being. You enjoy working with others, are results-driven, and seek various opportunities to develop personally and professionally.
The Role
•Support a variety of algorithmic products with core algorithmic data science capabilities
•Hands-on developer of internal models/processes such as machine learning models, numerical optimization, recommender systems, NLP and Generative AI, time-series forecasting, statistical significance testing, operational ml-as-a-service API development, and streaming event data processing.
•Stay up to date with the latest data science 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 model metrics, bias, explainability, and incremental business impact with a commitment to ethical data science.
•Demonstrate holistic thinking, strategic agility, and leadership at all levels of the organization.
Qualifications
Experience Required:
•Master's degree in computer science, statistics, or related fields required, PhD preferred.
•5+ years of data science experience driving impact with a focus on one or more of (Personalization, Forecasting, Generative AI, Decision Science). Hospitality experience is not required.
•Expertise in Python, SQL, and Spark. Additional software experience preferred ie Docker.
•Expertise in a broad array of machine learning frameworks (Scikit-Learn, XGBoost, Tensorflow, PyTorch, MXNet, LLM, etc).
•Experience developing operation AI services.
•Experience operating in AWS cloud environment with large datasets.
•Experience with streaming data architectures.
•Experience with optimization solvers (Gurobi, CPLEX, etc)
•Experience operating in an Agile Methodology environment.
•Experience with DevOps and CI/CD concepts.
•Excellent communication and teamwork skills.
•Position will not require customer-facing interaction
The position responsibilities outlined above are in no way to be construed as all-encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.
We welcome you:
Research shows that women, people of color, and other historically excluded groups, tend to apply to jobs, only if they meet all the listed job qualifications. Unsure if you check every box, but feeling inspired to enhance your career? Apply. We'd love to consider your unique experiences and how you could make Hyatt even better.
Rishi star
Mumbai, India
Awesome hotel !!