Machine Learning Scientist III - VRBO Pricing
At a glance
Mid-level AI Research role at Expedia. HomeAway · full-time · no salary stated · we estimate $135,000–$232,000 across the United States.
Expedia has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and research end-to-end pricing models, then work with engineering to put them into production
- Use pricing to balance business outcomes such as booking volume and profit across different lines of business
- Set measures for near-term and longer-term results, and evaluate model performance through A/B tests
- Turn business needs into technical plans and explain those plans to stakeholders with different levels of technical knowledge
- Use data insights to guide pricing solutions and collaborate with machine learning and data science teams
What you bring
- At least three years of industry experience and an advanced quantitative degree; a PhD is preferred
- Expertise in one or more areas among machine learning, causal inference and operations research
- You can analyze complex datasets and apply modern machine learning and data science methods with sound mathematical grounding
- Proficiency in Python, Scala or another listed tool, plus experience with Hadoop, Spark or the wider big data ecosystem
Who this fits
This role suits an applied researcher who wants to develop pricing models for production and assess their results through experiments. You’ll work with machine learning scientists, data scientists, engineers, product managers and operations analytics. Pricing experience and large-scale marketplace experiment work are advantages, rather than stated requirements.
From the employer
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.
Travel is a force for good. At Expedia Group (Expedia, Hotels.com, Vrbo, Travelocity, Orbitz, Wotif and others), it’s our mission to power global travel for everyone, everywhere, because we know that travel strengthens connections, broadens horizons, and bridges divides. Powered by more than 70+ terabytes of data and 20+ years of tech innovation, Expedia Group is one of the world’s largest travel platforms. With unrivaled knowledge of the industry and advanced tech innovation, we built a marketplace that allows us to filter through millions of different possibilities, for travelers and partners worldwide.
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.
Experience & Qualifications:
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.
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.