Machine Learning Scientist III - Vrbo Pricing
Austin Domain 11 - HomeAway
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- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingResearch and build end-to-end pricing models and systems
Implement scalable machine learning solutions with engineering rigor
Design short- and long-term success metrics
Articulate technical plans to business stakeholders
From the employer’s posting
You will work on end-to-end pricing problems.
Research and implement scalable machine learning and data science solutions end to end with engineering rigor.
Design success metrics for both short-term and long-term performance.
Articulate technical solutions and plans to stakeholders based on detailed understanding of business requirements.
What you’ll bring
All qualificationsCore experience
- 3+ years industry experience and a degree in Statistics, Operations Research, Economics, Computer Science, or equivalent quantitative fields
- 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
- Proficiency in one of the tools such as Python, Scala, etc
- Proficiency with big data ecosystem (Hadoop/Spark)
Preferred experience
- Experience with large scale marketplace experiment design and analysis
Qualification wording
3+ years industry experience and a degree in Statistics, Operations Research, Economics, Computer Science, or equivalent quantitative fields
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
Proficiency in one of the tools such as Python, Scala, etc
Proficiency with big data ecosystem (Hadoop/Spark)
Experience with large scale marketplace experiment design and analysis
Education & alternatives
Preferred Qualifications: - An advanced degree, PhD, in a quantitative field - Expert in one or multiple areas of machine learning, causal inference, and operations research
Tools in this posting
- Python
- Scala
- Hadoop
- Spark
Source — Tool mentions in context
- 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)
- Proficiency in one of the tools such as Python, Scala, etc - Proficiency with big data ecosystem (Hadoop/Spark) Preferred Qualifications:
Benefits in the posting
Full benefits wording- Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.
- Accommodation requests
From the employer’s posting.
About Expedia Group
Across our brands and business, we help travelers explore the world with confidence and ease.
In the employer’s words · Read in context
Posting record
Report an errorMay be filledThe employer has taken this posting down, so the role may be filled. Check their website before applying.
- Status in our records
- No longer listed
- First seen by us
- Jun 11, 2026 · 141 days ago
- Recorded sightings
- 171
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
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Job description
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
Travel platform pricing and monetization has critical impacts on the business health. The Machine Learning Science team is building a scalable and robust system to enable pricing as a lever to optimize business performance. The system should be steered based on desired outputs, such as a given tradeoff between volume and profit. Our work directly decides prices across different lines of business, influencing multi-billion dollar revenue.
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.
Minimum Qualifications:
- 3+ years industry experience and a degree in Statistics, Operations Research, Economics, Computer Science, or equivalent quantitative fields
- 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)
Preferred Qualifications:
- An advanced degree, PhD, in a quantitative field
- Expert in one or multiple areas of machine learning, causal inference, and operations research
- Experience in pricing
- Experience with large scale marketplace experiment design and analysis
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.
Equal Opportunity
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.Source details
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- Pay
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- Location & working pattern
Austin Domain 11 - HomeAway
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- Work authorization
Equal Opportunity Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
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