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Data and Analytics
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COR013G8 Requisition #
Thanks for your interest in the Senior Lead Data Scientist position. Unfortunately this position has been closed but you can search our 4,710 open jobs by clicking here.

What are we looking for?
We seek problem-solvers who are passionate about data science and strive for opportunities to build or improve data science algorithms and models. We believe the success in this role will demonstrate itself through the following attributes and skills:

  • Self-starter, well organized, accountable and a confident teammate willing to take ownership of responsibilities with positive energy and drive
  • Forward-thinking individuals who have a real passion for delivering a highly positive customer experience
  • A dedicated work demeanor that exhibits flexibility, drive, and dependability
  • A high level of accountability and commitment to solving problems through critical thinking
  • Experience managing large datasets, diving into data to discover patterns, using data visualization tools, and create robust models

To fulfill this role successfully, you should demonstrate the following minimum qualifications:

  • Eight (8) years of research experience in science or engineering fields that involve data analysis and mathematical modeling (including academic experience)
  • Five (5) years of professional/industry experience in building, implementing, testing, and deploying advanced analytics production models
  • Five (5) years of enterprise-scale projects in technology applications
  • Advanced programming skills in SQL and Python, and proficient with common data science Python packages (including Pandas, SciPy, Scikit-learn, Prophet, LightGBM, TensorFlow/PyTorch etc.)

It would be useful in this position for you to demonstrate the following capabilities and distinctions:

  • Ph. D. Degree in Data Science, Statistics, Operations Research, Computer Science, Industrial Engineering or similar concentrations
  • Solid experience with research and development in pricing and revenue management in the hospitality industry
  • In-depth knowledge of theory and practice of forecasting and pricing models, including statistical methods, time series models, neural networks, and optimization algorithms
  • Proficient with tools for probabilistic methods such as Stan, Pyro or TensorFlow Probability
  • Demonstrated capability with using optimization solvers (Gurobi, CPLEX or similar) to model optimization problems in practice
  • Presentations or publications in top research journals or conferences
  • Deep understanding of the big-data platforms, cloud service providers related ecosystems such as Apache Spark, Amazon Sagemaker, or similar frameworks

What is it like working for Hilton?

The future of hospitality is bright at Hilton: 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.

We support the mental and physical wellbeing of all Team Members, so they can Thrive, thanks to innovative programs and benefits such as workplace flexibility, career growth and development, and our Go Hilton travel discount program. Hilton prioritizes understanding and integrating our Team Members’ unique perspectives and voices—along with those of our Guests, Owners, Suppliers, and Partners—to cultivate a diverse and inclusive environment for all. Check out the Hilton Careers blog and Instagram to learn more about what it’s like to be on Team Hilton! 

We are an equal opportunity employer and value diversity at our company. We will ensure that qualified individuals with protected disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions of their role, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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