> Markdown version of [/jobs/ext/4434251-lead-data-scientist](https://www.wearedevelopers.com/jobs/ext/4434251-lead-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Lead Data Scientist

- **Company:** Hilton Inc.
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Salary:** $110,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Data Analysis, Applications Architecture, Automated Storage and Retrieval Systems, Microsoft Azure, Big Data, Code Review, Continuous Integration, Python (Programming Language), Machine Learning, Tensorflow, Standard Sql, SciPy, Software Organization, Cloud Platform System, Data Ingestion, Pytorch, Prophet, Large Language Models, Generative AI, Pandas, Containerization, Scikit Learn, Information Technology, Xgboost, Machine Learning Operations, Software Version Control, Data Pipelines
- **Published:** October 6, 2026
- **Apply:** https://dejobs.org/x/x/B5A5D94A7B2548F8B5A609FAF7D26DDC/job/

## About the Role

* Two (2) years of professional experience developing and deploying machine learning or data science solutions.
 * Two (2) years of professional experience researching, building, implementing, testing, and measuring performance of data science models in production.
 * Experience writing production quality software
 * Experience working within modern software development practices including CI/CD pipelines, version control, code review and containerized applications.
 * Proficient in SQL and Python, including data science Python packages (e.g. Pandas, SciPy, Scikit-learn, Prophet, LightGBM, TensorFlow/PyTorch), * Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
 * Five (5) years of professional experience developing and deploying machine learning or data science solutions.
 * Experience building large-scale data science applications, high-volume data pipelines, application architecture, API framework and tooling and deploying them in cloud environments such as AWS, Azure or GCP.
 * Experience working with LLMs, retrieval systems, or generative AI applications.
 * Familiarity with the hospitality industry.

## Description

This is your chance to be part of the next generation Strategy, Insights, and Analytics team of internal consultants to all teams across Hilton! The team ensures that Hilton's strategy and customer experience are informed by analytics and customer insights combining technical talent with industry expertise to guide progress towards Hilton's goals. As a Lead Data Scientist reporting to the Director of Data Science, you will support R&D projects in GenAI, pricing, forecasting, inventory optimization, and customer-centric personalization.

What you'll do during a typical day:

 * Lead the research, documentation, development, and measurement of data science models in both testing and production environments.
 * Communicate information to stakeholders with varying levels of technical acumen to ensure data-driven perspectives drive roadmap definition and decision making.
 * Design and implement enterprise-scale data science applications based on insights derived from data, industry trends, and research findings.
 * Write production grade code and build maintainable machine learning workflows.
 * Stay abreast with relevant technical developments and industry state-of-the-arts to provide unique and innovative ideas to data science solutions.
 * Operate with autonomy and proactiveness while knowing when to ask for help or input from stakeholders and other team members.

How you'll collaborate with others:

 * Collaborate with business, engineering, and technology teams to understand Hilton data and business context and provide solutions in the form of data science models and algorithms.
 * Partner with engineering and technology teams to design and deploy data science pipelines and applications in production in an efficient, scalable manner
 * Partner with other teams to access data elements, understand the data being analyzed and identify improvement opportunities for the data ingestion process.

Projects you'll take ownership of:

 * Research and development of models and algorithms in various areas, including forecasting, pricing, inventory management, supply chain management, content and personalization.