Machine Learning Scientist II

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.

Expedia Group B2B is the business-to-business arm of Expedia Group. We bring Expedia Group's innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more. As a global leader in travel technology, Expedia Group B2B powers thousands of partners across diverse markets and travel segments.

We are looking for a Machine Learning Scientist II to join the Expedia Group B2B Machine Learning Science team. In this role, you will build end-to-end ML solutions for personalized recommendations, learning to rank, and relevance optimization. These systems are foundational capabilities that drive substantial value for our partners and Expedia Group. We champion a test-and-learn culture by continuously experimenting, analyzing, and improving the algorithms that have helped make B2B one of the fastest-growing divisions at EG.

This role offers a unique opportunity to gain expertise in commercial acumen, engineering, analysis, and applied machine learning at scale. We are looking for an individual who has a solid foundation in machine learning and engineering, is passionate about driving meaningful impact while being mindful of the broader business context in which their work sits, is comfortable with ambiguity, and enjoys the challenge of tackling open-ended problems.

In this role, you will:

• Develop and implement ML models for recommendations & relevance at scale that can handle high-throughput, low-latency personalized recommendations across diverse partner segments within Expedia Group’s B2B division.

• Contribute to building and enhancing end-to-end ML solutions, from data preprocessing to production deployment.

• Design and run A/B tests and experiments to continuously improve algorithm performance.

• Stay current with the latest ML techniques and contribute to the team’s technical capabilities.

• Collaborate with cross-functional teams to translate business needs into technical solutions.

• Communicate methodologies and results clearly to both technical and non-technical audiences and work across the tech stack to deploy models.

Experience and qualifications:

• Ph.D. (preferred) or master’s degree in computer science, Machine Learning, Mathematics/Statistics or another related field of science.

• 2 years of industry experience in applying ML to real-world problems desirable but not required.

• Proficiency in Python, with experience using PySpark and common machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, Keras etc.).

• Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud computing platforms (AWS, GCP)

• Solid understanding of common machine learning algorithms

• Knowledge of statistics and probability theory

• Excellent problem-solving skills and ability to learn new concepts quickly

• Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

• Enthusiasm for tackling challenging problems and contributing to innovative solutions

The total cash range for this position in Madrid is €43,000.00 to €60,500.00. Employees in this role have the potential to increase their pay up to €69,000.00, 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.

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.

You can find the benefits for this location and any collective agreement that may apply here.

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, religion, gender, sexual orientation, national origin, disability or age.