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 TeamExpedia 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 ML Scientist II to join the Expedia Group B2B Machine Learning Science team.

You will join a team that builds end-to-end ML solutions for ranking problems, recommendation engines as well as optimizing our pricing and commission offerings contributing substantial value for our partners and for EG. We embrace test and learn by continuously experimenting, analyzing and improving our algorithms which has helped the B2B business become one of the fastest growing at Expedia Group.

This applied scientist role will join our Revenue Optimization ML team at Expedia Group. This role offers a unique opportunity to work on diverse challenges and contribute to cutting-edge solutions that drive significant impact for the business. You will gain expertise in commercial acumen, engineering, analysis, and applied machine learning at scale.

This role that requires an individual that has a solid foundation in machine learning and engineering, is passionate about driving meaningful impact whilst being mindful of the broader context in which their work sits, is comfortable with ambiguity and enjoys the challenge of tackling open ended problems.

• What You’ll DoDevelop and implement ML models for dynamic pricing, demand forecasting, and revenue optimization
• Collaborate on end-to-end solutions, from data preprocessing to model deployment in production environments
• Participate in A/B testing and experiment design to continuously improve our algorithms
• Analyze complex datasets to derive actionable insights for business stakeholders
• Contribute to the team's technical capabilities by staying current with the latest ML techniques and technologies
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Clearly communicate your work, methodologies, and results to both technical and non-technical audiences
• Interact with multiple areas of our technology stack to push models to production

Who You Are

• 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, Tensor
• Flow, 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
• Adaptability and willingness to work in a fast-paced, evolving environment
• 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®, Cheap
• Tickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, Car
• Rentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved.
• Trademarks and logos are the property of their respective owners.
• CST: 2029030-50Employment 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, religion, gender, sexual orientation, national origin, disability or age.