At a Glance
- Tasks: Use machine learning to optimise marketing spend and enhance customer engagement.
- Company: Join Expedia Group, a leader in global travel technology and solutions.
- Benefits: Enjoy travel perks, flexible work options, generous time-off, and career development resources.
- Why this job: Tackle high-impact challenges in a vibrant culture that celebrates diversity and innovation.
- Qualifications: 3+ years in machine learning, strong programming skills, and a passion for learning.
- Other info: Recognised as a Best Place to Work by Glassdoor in 2024.
The predicted salary is between 43200 - 72000 £ per year.
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.
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.
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.
Machine Learning Scientist III (Meta bidding) employer: Expedia, Inc.
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 relevant to marketing. Understanding how ML can optimise bidding strategies and enhance customer engagement will give you a competitive edge during discussions.
✨Tip Number 2
Network with professionals in the travel and tech industries, particularly those who work with Expedia Group or similar companies. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations for the role.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully applied machine learning techniques, particularly in marketing contexts. Be ready to explain your thought process, the challenges you faced, and the impact of your solutions.
✨Tip Number 4
Showcase your programming skills by contributing to open-source projects or creating your own ML models. This not only demonstrates your technical abilities but also your passion for continuous learning and innovation in the field.
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 Compelling 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 high-impact modelling challenges and your familiarity with tools like Python or Scala.
Showcase Your Technical Skills: Include a section in your application that details your programming skills and experience with machine learning libraries such as Spark MLlib, scikit-learn, or PyTorch. Provide examples of how you've used these tools in past projects.
Highlight Collaboration Experience: Since the role involves working with various stakeholders, emphasise any previous collaborative projects. Discuss how you’ve worked with engineering teams or partners to integrate and improve ML models, showcasing your teamwork skills.
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, engineered features, and optimised algorithms, as this will demonstrate your technical proficiency.
✨Understand the Marketing Domain
Since the role involves 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, as it will set you apart from other candidates.
✨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 and Adaptability
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 roles, showing that you're eager to grow and innovate.