Lead Data Scientist

This is your chance to be part of an in-house Commercial Strategy, Insights, and Analytics team of consultants to important functions across Hilton! The team consists of both embedded authorities who serve as strategic advisors to partners and technical specialists who are proficient in advanced analytics techniques and tools. As a Lead Data Scientist, you will support Hilton's Customers, Brands, Marketing, Digital, Revenue, and Sales organizations, with special support for the executive leadership team. On the Data Science team reporting to the Director of Data Science, you will support projects including Enterprise Forecast Management and other pricing and revenue management projects.

HOW WE WILL SUPPORT YOU

Hilton is proud to support the mental and physical wellbeing of all Team Members so they can Thrive personally and professionally in a diverse and inclusive environment, thanks to programs and benefits such as:

• Go Hilton travel program: 100 nights of discounted travel with room rates as low as $40/night
• Hilton Shares: Our employee stock purchase program (ESPP) - you can purchase Hilton shares at a 15 percent discount
• Paid parental leave for eligible Team Members, including partners and adoptive parents
• Mental health resources including free counseling through our Employee Assistance Program
• Paid Time Off (PTO)
• Learn more about the rest of our benefits

At Hilton, we believe every Team Member is a leader. We are committed to offering leadership development opportunities and programs through every step of a Team Member’s career journey and at every level, both in our hotels and across corporate.

**Available benefits may vary depending upon terms and conditions of employment and are subject to the terms and conditions of the plans.

HOW YOU WILL MAKE AN IMPACT

Your role is important and below are some of the fundamental job duties that make your work unique.

The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton’s business, bringing predictive and prescriptive analytics through Data Science, Machine Learning (ML), and Artificial Intelligence (AI). In this role, you will be driving the research and development of the next generation of Hilton’s predictive models to a production-ready state and supporting their integration and implementation in our systems.

What your day-to-day will be like:

• Design, improve, document, develop, code, and test sophisticated analytical prototype models in a big-data environment;
• Solve practical data science problems in creative and novel ways, and operate with significant autonomy;
• Provide technical advice to other team members and senior management and lead model development of data science projects.

How you will collaborate with others:

• Collaborate with business and technical teams to collect, analyze, enhance, and understand business requirements, translating activities and business goals into researching, selecting, and building data science models and algorithms.
• Partner with other functional teams to access data elements, understand the data being analyzed, and identify improvement opportunities for the data ingestion process.

What projects you will take ownership of:

• Forecasting of various business performance metrics, including maintenance and improvement of existing forecasting models.
• Support and analysis for the commercial analytics team.

WHY YOU'LL BE A GREAT FIT

You have these minimum qualifications:

• Two (2) years of professional/industry experience in building, implementing, testing, and deploying data science and advanced analytics production models.
• Two (2) years of experience working on enterprise-scale projects in technology applications.
• Four (4) years of research experience in science or engineering fields that involve data analysis and mathematical modeling.
• Advanced programming skills in SQL and Python, and proficiency with common data science Python packages (including Pandas, SciPy, Scikit-learn, etc.).

It would be useful if you have:

• Ph. D. Degree in Data Science, Statistics, Operations Research, Computer Science, Industrial Engineering, or similar disciplines.
• Experience with research and development in pricing and revenue management in the hospitality industry.
• In-depth knowledge of theory and practice of forecasting models, including statistical methods and neural network models.
• Proficient with tools for probabilistic methods such as Stan, Pyro, or TensorFlow Probability.
• Familiar with optimization solvers (Gurobi, CPLEX, or similar).
• Publications or presentations in top research journals or conferences.
• Deep understanding of the big-data platforms, cloud service providers and related ecosystems such as Apache Spark, Amazon Sagemaker, or similar frameworks.

WHAT IT IS LIKE WORKING FOR HILTON

Hilton, the #1 World's Best Workplace, is a leading global hospitality company with a diverse portfolio of world-class brands. Dedicated to filling the earth with the light and warmth of hospitality, we have welcomed more than 3 billion guests in our more-than 100-year history. Hilton is proud to have an award-winning workplace culture and we are consistently named among one of the World’s Best Workplaces. Check out the Hilton Careers blog and Instagram to learn more about what it’s like to be on Team Hilton!

It is the policy of Hilton to employ qualified persons without regard to color, race, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and related medication conditions), gender identity or gender expression, sexual orientation, marital status, military service, status as a protected veteran, disability, protected medical condition as defined by applicable law, genetic information, or any other protected group status as defined by and subject to applicable federal, state and local laws.

We provide reasonable accommodations to qualified persons with disabilities to perform the essential functions of the position and provide other benefits and privileges of employment in accordance with applicable law. Please contact us if you require an accommodation during the application process.