Senior Lead Data Scientist

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

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.