Senior Lead Data Scientist

Key Skills

Python Programming, AWS, Apache Hadoop, Scala Programming, Apache Hive, Amazon RedShift, SPARK Programming

Job Description

*** Will consider candidates in McLean, VA; Dallas, TX; or willing to relocate to one of these locations ***

In Commercial Strategy, Insights, and Analytics, we are internal consultants to key functions across the business, including Hilton’s Customer, Brands, Marketing, Digital, Revenue, and Sales organizations, with specialized support for the executive leadership team. The team consists of both embedded authorities who serve as strategic advisors to key partners and technical specialists who are proficient in advanced analytics techniques and tools. The team is integrated with the business functions to ensure close partnership and to optimally measure and drive company performance.

What will I be doing?

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). You will be an ambassador bringing the values of big data to fruition and serving as the main resource for building sophisticated analytics models for Hilton’s groundbreaking data science initiatives! 

More specifically, you will:

• 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.
• 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 or manage model development of data science projects.
   

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 a high level of positive energy and drive
• Ambitious, 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 running large datasets, diving into data to discover patterns, using data visualization tools, and creating robust models

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

• 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
• Programming skills in Python with production-quality code
• Proficient with common data science Python packages (including Pandas, SciPy, Scikit-learn, etc.) and fast prototyping in Jupyter Notebook
• Experience with modeling techniques such as statistical analysis, regression models, optimization, machine learning models, etc
• Solid understanding of what comprises a scalable, robust, supportable data science application design

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

• Ph.D. Degree in Data Science, Computer Science, Statistics, Industrial Engineering, or other data-intensive fields
• Four (4) years of academic/educational research experience in Data Science, Computer Science, Machine Learning, Statistics, or other technical fields
• Eight (8) years of professional/industry experience in building and implementing data science and advanced analytics applications
• Eight (8) years of enterprise-wide projects in technology applications
• Hands-on experience with research and development in marketing research, loyalty program, and customer engagement in the hospitality industry
• In-depth knowledge of both theory and practice of modern forecasting models, recommendation systems, and natural language processing (NLP)
• Proficient with tools for probabilistic methods such as Stan or TensorFlow Probability
• Deep understanding of the big-data platforms, cloud service providers related ecosystems such as Apache Spark, Amazon Sagemaker, or similar frameworks
• Experience in JIRA and Bitbucket, Python packaging and shared libraries, code documentation, design patterns, and SDLC lifecycle for Agile & Waterfall methodologies
• Strong knowledge of MLOps

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.