Machine Learning Scientist II

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.

Introduction to the team:

Travel platform pricing and monetization has critical impacts on 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 II, you will help to 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, mixed integer programming, ML-based demand estimation, experiment design with spillovers.

In this Role, you will:

• Help to research and implement scalable machine learning and data science solutions end to end with engineering rigor.

• Articulate technical solutions and plans to stakeholders.

• Follow the latest technology and research and be able to customize them to our problem space.

• Guide to solutions using data insights.

• Collaborate with other machine learning and data science teams to build a great data science culture in Expedia Group

Minimum Qualifications:

• Advanced degree in a quantitative field (Computer Science, Statistics, Operations Research, Economics) or equivalent professional experience.

• Hands-on experience in machine learning, operations research, or causal inference.

• Strong analytical skills for working with complex datasets and generating actionable insights.

• Proficiency in Python or Scala.

• Familiarity with big data ecosystems such as Hadoop or Spark.

• Solid understanding of modern ML and data science techniques and their mathematical foundations.

• Ability to communicate clearly and effectively.

• Pragmatic approach to problem-solving.

Preferred Qualifications:

• Experience in pricing strategies or revenue optimization.

• Background in large-scale marketplace experiment design and analysis.

• Exposure to mixed-integer programming and ML-based demand estimation.

• Knowledge of causal inference methods applied to real-world business problems.

• Experience collaborating in cross-functional teams with engineers, product managers, and analytics professionals.

The total cash range for this position in Austin is $112,000.00 to $156, Employees in this role have the potential to increase their pay up to $179,000.00, 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, , Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, , and Expedia Cruises Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST:

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is The official website to find and apply for job openings at Expedia Group is

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, or veteran status. 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.