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- Tasks: Join us as a Machine Learning Scientist to optimise marketing strategies and enhance customer engagement.
- Company: Expedia Group powers global travel with innovative tech and a vibrant, inclusive community.
- Benefits: Enjoy flexible work options, generous time-off, travel perks, and career development resources.
- Why this job: Make a real impact in travel while working with cutting-edge technology and a supportive culture.
- Qualifications: 3+ years in machine learning, strong programming skills in Python or Scala, and a passion for learning.
- Other info: Recognised as a Best Place to Work by Glassdoor and Forbes, we celebrate diversity and inclusion.
The predicted salary is between 43200 - 72000 £ per year.
Machine Learning Scientist III (Meta bidding) page is loaded Machine Learning Scientist III (Meta bidding) Apply locations UK – London time type Full time posted on Posted 25 Days Ago time left to apply End Date: June 13, 2025 (1 day left to apply) job requisition id R-95422 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. #LI-MF2 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, religion, gender, sexual orientation, national origin, disability or age. Similar Jobs (2) Machine Learning Scientist III (Metasearch bidding) locations UK – London time type Full time posted on Posted 25 Days Ago time left to apply End Date: June 13, 2025 (1 day left to apply) Director, Machine Learning Science locations UK – London time type Full time posted on Posted 11 Days Ago time left to apply End Date: June 29, 2025 (17 days left to apply) #J-18808-Ljbffr
Contact Detail:
Expedia, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Scientist III (Meta bidding)
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning, especially those related to marketing. Understanding how ML can optimise bidding strategies will give you an edge in discussions during interviews.
✨Tip Number 2
Network with professionals in the field of machine learning and marketing. Attend relevant meetups or webinars to connect with others who may have insights into the role or the company culture at Expedia Group.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully applied machine learning techniques. Be ready to explain your thought process, the challenges you faced, and how you overcame them, particularly in a marketing context.
✨Tip Number 4
Research Expedia Group's brands and their marketing strategies. Tailoring your knowledge about their products and how machine learning can enhance customer engagement will demonstrate your genuine interest in the role.
We think you need these skills to ace Machine Learning Scientist III (Meta bidding)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and statistical modelling. Focus on projects where you've built datasets, selected features, and optimised algorithms, especially in a marketing context.
Craft a Strong Cover Letter: In your cover letter, express your passion for travel and how your skills align with the role. Mention specific experiences that demonstrate your ability to tackle complex problems and collaborate with stakeholders.
Showcase Technical Skills: Clearly list your programming skills, particularly in Python or Scala, and mention any libraries you are proficient in, such as Spark MLlib or PyTorch. Provide examples of how you've used these tools in past projects.
Highlight Continuous Learning: Emphasise your intellectual curiosity and willingness to adopt new methodologies. Mention any recent courses, certifications, or projects that showcase your commitment to staying updated in the field of machine learning.
How to prepare for a job interview at Expedia, Inc.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning languages like Python or Scala. Highlight specific projects where you've built datasets, selected features, and optimised algorithms, as this role requires a strong technical foundation.
✨Understand the Marketing Domain
Since the position focuses on optimising marketing spend, brush up on how machine learning can be applied in marketing contexts. Be ready to discuss any previous experience you have in this area and how it relates to the role.
✨Prepare for Problem-Solving Questions
Expect to tackle high-impact modelling challenges during the interview. Practice explaining your thought process for solving complex problems, especially those related to data scarcity and dynamic auction environments.
✨Demonstrate Your Curiosity
The company values intellectual curiosity and a willingness to learn. Share examples of how you've adapted to new methodologies or technologies in your past work, showing that you're eager to grow and innovate.
