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.

Location: Seattle, San Jose

Are you passionate about using machine learning to improve Customer Experience? Would you like to work in the fast-paced, competitive, customer-focused, and data-rich world of online travel?

Our Machine Learning and Data Science team are growing! We are looking to hire researchers and data scientists interested in breaking new ground to tackle some of the most complex customer experience problems in the travel domain. The focus of your job will be on developing state-of-the-art machine learning algorithms to power and enhance the customer experience across highly complex post-booking recommendations, customer service, and trip management use cases. You will tackle substantial technical challenges, from inference problems arising from long-tail traveler data to multi-objective optimization problems in the highly dynamic, operationally complex environment of customer service. Your passion for the craft of statistics, machine learning, and causal inference will unlock tangible growth for our business by exploiting these rich data sets and building effective solutions for travelers and our partners.

This is your opportunity to build the core algorithms that help Expedia Group's Post Booking organization bring context and intelligence to every step of the traveler journey and redefine what service excellence in travel can be. We are looking for a hands-on scientist who is passionate about applying machine learning to complex prediction and optimization problems that drive an ecosystem that anticipates traveler needs, personalizes dynamic add-ons and upsells, and improves service experiences, making travel more seamless for millions of customers and partners worldwide.

What You'll Do

• Design & Implement ML Solutions: Take ownership of the end-to-end ML lifecycle for your projects, from ideation and research to deployment and monitoring.

• Test, Learn, and Iterate: Design and analyze tests to validate your models and quantify their business impact and design future iterations.

• Collaborate and Communicate: Partner closely with product managers, engineers, and business stakeholders to understand requirements, define problems, and communicate your findings and results effectively.

Who you are

Experience & Education

• PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics).

• 3+ years of hands-on industry experience building and deploying machine learning models to solve real-world problems.

Functional & Technical Skills

• Expertise in applied ML: Deep, practical knowledge of machine learning theory (supervised/unsupervised learning, deep learning) and statistical modeling and a strong command of experimental design (A/B testing) and causal inference to accurately measure impact.

• Technical Fluency: Strong programming skills in Python and its data science ecosystem (e.g., pandas, scikit-learn, pySpark), plus proficiency in SQL. Follow software engineering best practices and contribute to the team's shared codebase.

• First-Principles Problem Solver: Skilled at dissecting ambiguous problems and clearly communicating complex technical ideas.

Highly Desired Experience

• Domain knowledge in customer service, recommendation systems, operational applications of ML, and/or e-commerce

• Experience building and deploying models using GenAI/LLM technologies

In this role, you will:

• Design, implement, and own end-to-end machine learning solutions for post‑booking recommendations, customer service, and trip management, from problem definition through deployment and monitoring in production.

• Develop, test, and iterate on state‑of‑the‑art ML models and statistical methods, using controlled experiments and causal inference techniques to quantify impact on traveler experience and business outcomes.

• Analyze rich, large‑scale traveler and partner datasets to tackle challenges such as long‑tail inference, multi‑objective optimization, and personalization of dynamic add‑ons, upsells, and service experiences.

• Collaborate closely with product managers, software engineers, and business stakeholders to translate ambiguous business problems into well‑formed ML tasks and to communicate technical findings and recommendations clearly.

• Apply strong software engineering practices to build robust, maintainable, and reusable data science and ML code, including system design (LLD), API design, and data modeling to integrate models into production services.

• Safely integrate and operate AI/ML‑enabled and GenAI/LLM‑enabled solutions that improve traveler and operations outcomes, ensuring familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real‑world products.

Minimum Qualifications:

• Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience.

• 5+ years of relevant professional experience.

• Proven experience owning the ML lifecycle for a service or product area, including data preparation, model development, deployment into production systems, and post‑deployment monitoring.

• Deep, practical expertise in applied machine learning and statistical modeling, including supervised and unsupervised methods, deep learning, experimental design (A/B testing), and causal inference.

• Strong programming skills in Python and its data science ecosystem (such as pandas, scikit‑learn, and PySpark) and proficiency in SQL, with the ability to follow software engineering best practices and contribute to shared codebases.

Preferred Qualifications:

• PhD or MS in a quantitative field such as Computer Science, Economics, Statistics, or Physics, or a closely related discipline.

• Experience applying machine learning in customer service, recommender systems, operational optimization, or e‑commerce contexts, especially in complex, high‑volume environments.

• Demonstrated ability to design and implement experimentation and measurement strategies that drive data‑informed product decisions and continuous model improvement.

• Hands‑on experience building and deploying models using GenAI/LLM technologies and safely integrating AI/ML‑enabled capabilities into production services to enhance customer and agent experiences.

• Background in designing low‑level system components, APIs, and data models that support scalable ML‑driven features, including collaboration with engineering teams on architecture and integration.

• Familiarity with AI‑driven platforms, tools, or workflows and a track record of applying AI/ML concepts to real‑world products, including AI‑supported recommendation, personalization, or service automation use cases.

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.

The total cash range for this position in Seattle 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

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 @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

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.