Organization - Hyatt Corporate Office, Chicago
Summary
The Opportunity
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 lead a growing portfolio of data science products within the Decision Science function, such as Search Ranking. You will be a part of a ground-floor, hands-on, highly visible team that 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.
You will be part of a team passionate about diversity, equity, and inclusion, committed to nurturing curiosity and new skills and building connections across the organization with stakeholders, colleagues, and guests.
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 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.
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.
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 are looking for a variety of opportunities to develop personally and professionally.
The Role
- Lead a variety of algorithmic product implementations leveraging core algorithmic data science, ML, and AI capabilities to drive measurable business impact.
- Hands-on developer of internal models/processes such as machine learning models, numerical optimization, statistical significance testing, ML-as-a-service API development, and streaming event data processing.
- Manage other data scientists and be accountable for the research agenda and value delivery of algorithmic products.
- Stay up to date with the latest data science research and how it can be applied to Hyatt’s business. Conduct research review and internal presentation sessions as appropriate.
- Provide guidance and recommendations on appropriate system solutions, modeling approaches, and associated risks for a variety of business problems.
- Work collaboratively with other data scientists, business partners, and ML engineers to ensure proper execution/integration of algorithmic products.
- Report on incremental business impact with a commitment to ethical data science.
- Demonstrate holistic thinking, strategic agility, and leadership at all levels of the organization.
- Demonstrate a commitment to Hyatt's core values.
Qualifications
Experience:
- Master’s degree in computer science, statistics, or related fields required. PhD preferred.
- 7+ years of data science experience with a focus on algorithmic product development, with a history of successfully driving measurable business impact. Hospitality experience is not required.
- Expertise in Python, SQL, and Spark. Additional software experience preferred i.e., Docker.
- Expertise in a broad array of machine learning frameworks (Scikit-Learn, XGBoost, Tensorflow, PyTorch, MXNet, etc).
- Expertise with Recommender Systems (Collaborative filtering, Reinforcement Learning, Ranking, Candidate Generation, MIP Optimization, etc.).
- Experience implementing Search Ranking algorithms with measurable business impact preferred.
- Experience formulating and managing impact-focused research agendas in Decision Science.
- Experience managing (accountable, responsible) multiple Decision Science products, including both people management and hands-on implementation.
- Experience operating on AWS with large datasets.
- Experience with streaming data architectures.
- Experience operating in an Agile Methodology environment.
- Experience with DevOps and CI/CD concepts.
- Publication track record in major peer-reviewed journals preferred.
- Excellent communication and teamwork skills.
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.
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