Hilton
Senior Lead Data Scientist
Hilton, Mc Lean, Virginia, us, 22107
Qualifications
Eight (8) years of research experience in science or engineering fields that involve data analysis and mathematical modeling Five (5) years of professional/industry experience in building, implementing, testing, and deploying data science and 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.) Ph. D. Degree in Data Science, Operations Research, Computer Science, Statistics, 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 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 Experienced with working on big-data platforms, cloud service providers related ecosystems such as Apache Spark, Amazon Sagemaker, or similar frameworks Responsibilities
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 Senior 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 Director Data Science, you will support projects including forecasting, pricing, and inventory optimization, in particular revenue management and data science models on the B2B platform Identify, scope, and work on opportunities where Data Science can improve outcomes using both structured and unstructured data Lead the development of data science models to enhance customer service solutions, optimize guest experience, personalize content, and generate valuable insights based on customer intent and interactions Provide technical advice to other team members and senior management and participate in design reviews with peers and engineering team to decide amongst available technologies for data science applications Review and own codebase developed by data scientists for production-level quality and provide feedback to ensure best practices Provide support to triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on operations and quality Collaborate with business and technology teams to collect and analyze requirements, translating activities and goals into researching and building data science models and algorithms Partner with other teams to access data elements, understand the data being analyzed, and identify improvement opportunities for the data ingestion process Design/Redesign production code and models with other team members and partners with an eye towards continuous improvement Research and development of innovative models and algorithms to drive more value for the B2B segment, as part of the digital B2B solution initiative Benefits
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 *Available benefits may vary depending upon terms and conditions of employment and are subject to the terms and conditions of the plans
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Eight (8) years of research experience in science or engineering fields that involve data analysis and mathematical modeling Five (5) years of professional/industry experience in building, implementing, testing, and deploying data science and 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.) Ph. D. Degree in Data Science, Operations Research, Computer Science, Statistics, 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 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 Experienced with working on big-data platforms, cloud service providers related ecosystems such as Apache Spark, Amazon Sagemaker, or similar frameworks Responsibilities
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 Senior 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 Director Data Science, you will support projects including forecasting, pricing, and inventory optimization, in particular revenue management and data science models on the B2B platform Identify, scope, and work on opportunities where Data Science can improve outcomes using both structured and unstructured data Lead the development of data science models to enhance customer service solutions, optimize guest experience, personalize content, and generate valuable insights based on customer intent and interactions Provide technical advice to other team members and senior management and participate in design reviews with peers and engineering team to decide amongst available technologies for data science applications Review and own codebase developed by data scientists for production-level quality and provide feedback to ensure best practices Provide support to triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on operations and quality Collaborate with business and technology teams to collect and analyze requirements, translating activities and goals into researching and building data science models and algorithms Partner with other teams to access data elements, understand the data being analyzed, and identify improvement opportunities for the data ingestion process Design/Redesign production code and models with other team members and partners with an eye towards continuous improvement Research and development of innovative models and algorithms to drive more value for the B2B segment, as part of the digital B2B solution initiative Benefits
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 *Available benefits may vary depending upon terms and conditions of employment and are subject to the terms and conditions of the plans
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