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# Machine Learning Scientist III - VRBO Pricing

- **Company:** Expedia Inc.
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Salary:** $137,500 - $192,500
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Big Data, Apache Hadoop, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Apache Spark, Information Technology
- **Published:** November 12, 2026
- **Apply:** https://www.careerbuilder.com/job-details/machine-learning-scientist-iii-vrbo-pricing-austin-tx--25f48d27-3df6-4673-a566-58d7c75e4946

## About the Role

Machine Learning, Pricing, Willing to Travel, Leading Edge Technology, Global Branding, Leadership, Pricing, Machine Learning, Process Improvement, Scalable System Development, * 3+ years industry experience and an advanced degree (PhD preferred) in a quantitative field, such as Statistics, Operations Research, Economics, Computer Science, or equivalent quantitative fields.

 * Expert in one or multiple areas of machine learning, causal inference, and operations research.
 * Comfortable to analyze complicated data sets to generate insights to guide effective solution development.
 * Passion for solving exciting and meaningful real-world problems using principled techniques and practices.
 * Focus on problem solving with pragmatical methods.
 * Understanding of modern machine learning and data science techniques and their mathematical underpinning.
 * Ability to communicate clearly and effectively to cross functional partners of varying technical levels.
 * Collaborates well in a team and sensitive to clients' needs, while developing warm relationships and building trust with stakeholders
 * Proficiency in one of the tools such as Python, Scala, etc
 * Proficiency with big data ecosystem (Hadoop/Spark)
 * Experience in pricing is a plus.
 * Experience with large scale marketplace experiment design and analysis is a plus.

## Description

As a Machine Learning Scientist III, you will research and build this pricing system. You will work on end-to-end pricing problems. You will collaborate with a strong team of machine learning scientists, data scientists, engineers, product managers, and operation analytics. You will contribute to an area of active scientific research: causal inference using machine learning methods, operations research and optimization, ML-based demand estimation, experiment design with spillovers. And this is an applied research role - your models will be deployed to our production systems, and your results will be measured objectively through AB testing.

In this role you will:

 * Apply solid scientific skills, strong analytical and innovative thinking to quickly learn new domains and turn innovative ideas into working solutions
 * Articulate technical solutions and plans to stakeholders based on detailed understanding of business requirements.
 * Research and implement scalable machine learning and data science solutions end to end with engineering rigor.
 * Follow the latest technology and research and be able to customize them to our problem space.
 * Design success metrics for both short-term and long-term performance.
 * Guide solutions using data insights based on deep understanding of business domains.
 * Collaborate with other machine learning and data science teams to build a great data science culture in Expedia Group.