Machine Learning Scientist III - VRBO Pricing

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.

Do you have experience in Stakeholder relationship building?, * 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.

3.83.8 out of 5 stars 11920 ALTERRA PKWY, Austin, TX 78758 $137,500 - $220,000 a year - Full-time, Pulled from the full job description

• Parental leave
• Health insurance
• Paid time off
• Employee discount
• Vision insurance
• Dental insurance
• Employee assistance program, The total cash range for this position in Austin is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

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.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent ( IATAN ) membership. View our full list of benefits .

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request .

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group’s family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group Media Solutions, Expedia Local Expert®, CarRentals.com , and Expedia Cruises . © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees’ passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

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.