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- Tasks: Develop and optimise advanced machine learning algorithms for performance marketing.
- Company: Join Booking.com, where data and technology drive unforgettable travel experiences.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team that values innovation and collaboration.
- Why this job: Make a real impact on global travel by optimising bidding strategies with cutting-edge tech.
- Qualifications: Strong background in machine learning, optimisation techniques, and auction theory.
The predicted salary is between 40000 - 50000 £ per year.
About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We're the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.
About the team: The PPC team builds and optimizes large-scale ML models for online bidding across all major search providers, owning one of the industry's largest performance and auction strategies to keep Booking.com competitive. We run end-to-end research-to-production cycles—from POCs and modeling to large-scale A/B testing—driving measurable impact by optimizing auction levers at scale.
Role description: As a Machine Learning Scientist in PPC, your work will focus on devising and implementing advanced machine learning and optimization approaches for the next generation of Booking.com performance marketing bidding algorithms. Specifically, you will work on optimizing our bidding strategy across search platforms, ensuring our competitive edge in the complex dynamics of the bidding marketplace and online auction mechanisms. This role requires a unique combination of deep theoretical knowledge around large-scale optimization techniques, auction theory and applying state of the art machine learning methodologies to scalable industrial setups.
- Develop innovative techniques for the next phase of our online bidding algorithms, including modeling user intent, modeling the online marketplaces, and optimizing our bidding strategy to maximize the efficiency of how we spend our advertising budgets.
- Design and implement scalable evaluation pipelines, including synthetic data generation and benchmarking for model...
Machine Learning Scientist I - Performance Marketing | Manchester, UK employer: Booking.com
Contact Detail:
Booking.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Scientist I - Performance Marketing | Manchester, UK
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow Machine Learning enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and performance marketing. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common machine learning scenarios and be ready to discuss your thought process. We want to see how you tackle challenges!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Booking.com.
We think you need these skills to ace Machine Learning Scientist I - Performance Marketing | Manchester, UK
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data and technology shine through. We love seeing candidates who are genuinely excited about using data to drive decisions and improve performance marketing.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Machine Learning Scientist role. Highlight your experience with machine learning, optimisation techniques, and any relevant projects that showcase your skills in a way that aligns with our needs.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without unnecessary fluff. Remember, clarity is key!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Booking.com
✨Know Your Algorithms
Brush up on your knowledge of machine learning algorithms, especially those relevant to bidding strategies and auction theory. Be prepared to discuss how you would apply these techniques in real-world scenarios, as this will show your understanding of the role's requirements.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical problems during the interview. Think about how you would approach optimising a bidding strategy or designing an evaluation pipeline. Use examples from your past experiences to illustrate your thought process and problem-solving abilities.
✨Understand the Company Culture
Familiarise yourself with Booking.com's mission and values. They emphasise innovation and user experience, so be ready to discuss how your work can contribute to creating memorable experiences for users. This will demonstrate that you align with their culture and goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the PPC team's current projects and challenges. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you. It’s also a great way to engage with your interviewers and leave a lasting impression.