Machine Learning Scientist III (Metasearch bidding)

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.

We create and deliver an aligned, dedicated marketing strategy to fuel each Expedia Group brand's success. Since our travelers interact with us through our brands, we have a brand focus in our marketing, while leveraging the scale and efficiency we’ve built in functional expertise.

We are looking for a Machine Learning Scientist III to use Machine Learning to help optimise hundreds of millions of dollars of Marketing spend and to help increase customer long-term value through relevant and engaging interactions. This exciting opportunity would allow you to solve a broad range of high-impact, complex problems using some of the latest Data Science techniques.

In this role, you will:

• Utilize EG tools and marketing channels to programmatically connect users with their preferred travel products at scale, enhancing engagement and effectiveness.
• Optimise and refine bidding strategies across multiple marketing channels to enhance performance, cost-effectiveness, and strategic capital allocation.
• Collaborate with engineering, MetaSearch partners such as Google, trivago, and other key stakeholders to integrate and improve ML models that support efficient decision-making and scalability.
• Tackle high-impact modelling challenges, including data scarcity and dynamic auction environments, to ensure effective programmatic solutions for travel product engagement.
• Continuously experiment and learn to adapt strategies to emerging trends and insights, improving efficiency and outcomes.

Experience and qualifications:

• You have 3+ years of proven experience in machine learning and statistical modelling, including building datasets, selecting and engineering features, and developing and optimising algorithms.
• You are a skilled programmer with a strong command of major machine learning languages such as Python or Scala, and have expertise in utilising statistical and machine learning libraries like Spark MLlib, scikit-learn, or PyTorch to write clear, efficient, and well-documented code.
• Experience with optimisation techniques, control theory, causal modelling or elasticity modelling is desirable.
• Prior experience in solving machine learning problems within the Marketing domain is beneficial.
• You are intellectually curious, eager to learn, and open to adopting new methodologies, techniques, and technologies.

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.

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.