Hilton
Senior Lead Data Scientist
Hilton, Mc Lean, Virginia, us, 22107
Senior Lead Data Scientist
***This role is based at our corporate office in McLean, VA***
This is your chance to be part of an in-house 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 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 of Data Science, you will support projects in revenue management, pricing, forecasting, inventory optimization, and customer-centric personalization.
HOW YOU WILL MAKE AN IMPACT
Your role is important and below are some of the fundamental job duties that make your work unique.
What your day-to-day will be like:
Lead the research, documentation, development, and measurement of analytical models in both testing and production environments
Communicate technical subject matters to stakeholders with varying levels of technical acumen to ensure data-driven perspectives are taken in analytics product roadmap definitions
Provide leadership in negotiation and influencing sound data science applications based on insights, results and information derived from data, industry trends, and research findings
Stay abreast with relevant technical developments and industry state-of-the-art to provide unique and innovative ideas to data science solutions
Operate with significant autonomy, while also taking initiatives to provide technical advice, mentorship, and project management for junior team members' work where applicable
Review and own codebase developed by data scientists for production-level quality and provide feedback to ensure best practices.
How you will collaborate with others:
Collaborate with business, engineering, and technology teams to comprehend complex revenue management processes and problem statements to research appropriate solutions in the form of data science models and algorithms
Provide strategic and technical advice to other team members and senior management, and lead model development of data science projects
Partner with other 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:
Research and development of models and algorithms in the area of revenue management and its related extension fields.
WHY YOU'LL BE A GREAT FIT
You have these minimum qualifications:
Four (4) years of post-academic professional/industry experience building, implementing, testing, and deploying data science and advanced analytics production models
Four (4) years of post-academic experience working on enterprise-scale projects relating to technology applications
Five (5) years of research experience in applicable science or engineering fields, with theoretical and practical knowledge of mathematical modeling and optimization techniques
Strong experience communicating technical findings and concepts to audiences with varying levels of technical acumen
Strong analytical skills with experience working with large datasets and statistical modeling techniques
Experience managing large datasets, diving into data to discover patterns, using data visualization tools, and data science models
Advanced programming skills in SQL and Python, and proficient in common data science Python packages (including Pandas, SciPy, Scikit-learn, Prophet, LightGBM, TensorFlow/PyTorch).
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
Experience with common engineering areas and architectural components around data science methodologies; for instance, relational DB's, cloud-computing environments, Git, ETL and reporting/BI tools
Technical knowledge of large-scale data science applications, building high-volume data pipelines, application architecture, API framework, data science pipeline and tooling
Experience with machine learning algorithms, statistical modeling, simulation, or heuristic methods for solving combinatorial optimization problems
Familiarity with either hospitality, transportation, or logistics-based industries
Publications or presentations in top research journals or conferences
Understanding of the big-data platforms, cloud service providers, and related ecosystems such as Apache Spark, Amazon Sagemaker, or similar frameworks
#J-18808-Ljbffr
***This role is based at our corporate office in McLean, VA***
This is your chance to be part of an in-house 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 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 of Data Science, you will support projects in revenue management, pricing, forecasting, inventory optimization, and customer-centric personalization.
HOW YOU WILL MAKE AN IMPACT
Your role is important and below are some of the fundamental job duties that make your work unique.
What your day-to-day will be like:
Lead the research, documentation, development, and measurement of analytical models in both testing and production environments
Communicate technical subject matters to stakeholders with varying levels of technical acumen to ensure data-driven perspectives are taken in analytics product roadmap definitions
Provide leadership in negotiation and influencing sound data science applications based on insights, results and information derived from data, industry trends, and research findings
Stay abreast with relevant technical developments and industry state-of-the-art to provide unique and innovative ideas to data science solutions
Operate with significant autonomy, while also taking initiatives to provide technical advice, mentorship, and project management for junior team members' work where applicable
Review and own codebase developed by data scientists for production-level quality and provide feedback to ensure best practices.
How you will collaborate with others:
Collaborate with business, engineering, and technology teams to comprehend complex revenue management processes and problem statements to research appropriate solutions in the form of data science models and algorithms
Provide strategic and technical advice to other team members and senior management, and lead model development of data science projects
Partner with other 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:
Research and development of models and algorithms in the area of revenue management and its related extension fields.
WHY YOU'LL BE A GREAT FIT
You have these minimum qualifications:
Four (4) years of post-academic professional/industry experience building, implementing, testing, and deploying data science and advanced analytics production models
Four (4) years of post-academic experience working on enterprise-scale projects relating to technology applications
Five (5) years of research experience in applicable science or engineering fields, with theoretical and practical knowledge of mathematical modeling and optimization techniques
Strong experience communicating technical findings and concepts to audiences with varying levels of technical acumen
Strong analytical skills with experience working with large datasets and statistical modeling techniques
Experience managing large datasets, diving into data to discover patterns, using data visualization tools, and data science models
Advanced programming skills in SQL and Python, and proficient in common data science Python packages (including Pandas, SciPy, Scikit-learn, Prophet, LightGBM, TensorFlow/PyTorch).
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
Experience with common engineering areas and architectural components around data science methodologies; for instance, relational DB's, cloud-computing environments, Git, ETL and reporting/BI tools
Technical knowledge of large-scale data science applications, building high-volume data pipelines, application architecture, API framework, data science pipeline and tooling
Experience with machine learning algorithms, statistical modeling, simulation, or heuristic methods for solving combinatorial optimization problems
Familiarity with either hospitality, transportation, or logistics-based industries
Publications or presentations in top research journals or conferences
Understanding of the big-data platforms, cloud service providers, and related ecosystems such as Apache Spark, Amazon Sagemaker, or similar frameworks
#J-18808-Ljbffr