At a Glance
- Tasks: Design and deliver data science solutions to solve complex business problems.
- Company: Join Booking.com, where data drives decisions and innovation thrives.
- Benefits: Enjoy competitive pay, flexible working, and unique travel discounts.
- Other info: Be part of a diverse team that values inclusion and growth.
- Why this job: Make a real impact in travel tech while developing your skills.
- Qualifications: Master’s degree and experience in data analysis and machine learning.
The predicted salary is between 50000 - 70000 £ 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 our 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 Overview
Data Scientists take full ownership of the design and delivery of data science solutions, from ideation to implementation. They work independently on tasks like data consumption, preparation, and the translation of business problems into data stories. This role involves applying suitable statistical data analysis and modeling methods to solve complex business problems.
Key Job Responsibilities and Duties
- Responsible for owning the design and delivery of entire Data Science solutions based on business requirements, bringing them from the initial idea-generation phase to implementation independently.
- Responsible for working autonomously on consuming data, preparing it for data science use, translating business problems to data stories and solving them effectively by applying suitable statistical data analysis and modeling methods.
- Responsible for working primarily within the scope of their team to deliver work that informs business decisions for the product / business topic they currently work on, occasionally collaborating across multiple teams.
- Responsible for designing and interpreting quantitative experiments to objectively guide key business decision making.
- Responsible for independently identifying and managing stakeholders in operational, project-based, and managerial roles.
- Responsible for being flexible in adopting existing internal and external Data Science approaches, proposing and spotting opportunities to apply new approaches and expanding their technical competencies and that of their peers when a more efficient way presents itself.
- Responsible for leveraging Data Science for impact while learning to incorporate scalability, reproducibility and long term orientation in their work.
- Responsible for acting as a force multiplier for junior peers in the team by actively helping them with their craft through means of coaching, mentoring and setting a good example.
- Responsible for contributing to the community of their area by supporting community projects aimed at making other data professionals more effective.
- Must be knowledgeable about the larger data ecosystem at Booking and how it relates to the work they do.
- Responsible for collaborating with peers in related crafts (ie. Data Engineering), anticipating data needs to ensure smooth progress of their individual projects.
- Responsible for ensuring quality of their own work by validating it through peer review.
- Responsible for influencing business decisions within their specific area.
Role Qualifications and Requirements
- Master’s degree
- Broad Job Knowledge (3 - 5 years)
- Experience solving real problems using data mining techniques and with statistical rigor
- Strong technical skills regarding data analysis, statistics, machine learning and programming.
- Strong working knowledge of Hadoop, Spark, SQL, Python and/or R.
- Excellent communication skills
- Strong skills in translating business problems into data problems
- Strong data visualization skills
- Strong skills in storytelling with data
- Strong knowledge of statistics and experimentation
- Strong knowledge of data management (engineering, data pipelines, workflows)
- Strong knowledge of the possibilities and limitations of different types of data analysis and/or data science modelling
Benefits & Perks - Global Impact, Personal Relevance
Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:
- Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
- Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
- Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit
Diversity, Equity and Inclusion (DEI) at Booking.com
Diversity, Equity & Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.
Application Process
This role does not come with relocation assistance.
Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Data Scientist- Performance Marketing in Manchester employer: Booking Holdings, Inc.
At Booking.com, we pride ourselves on being an exceptional employer that values innovation and diversity. Our collaborative work culture fosters personal growth and offers unique benefits such as flexible working arrangements and industry-leading product discounts, all while empowering our employees to make a meaningful impact in the travel and tech sectors. Join us in a vibrant environment where your contributions are recognised and celebrated, and where you can thrive alongside colleagues from over 140 nationalities.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist- Performance Marketing in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Booking.com. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for your interviews by diving deep into data science concepts and the specific tools mentioned in the job description. Show us you know your stuff and can apply it to real-world problems!
✨Tip Number 3
Practice your storytelling skills with data. We love candidates who can take complex analysis and turn it into a compelling narrative. Think about how your past projects can showcase this ability.
✨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.
We think you need these skills to ace Data Scientist- Performance Marketing in Manchester
Some tips for your application 🫡
Show Your Data Storytelling Skills:When crafting your application, make sure to highlight how you've translated complex data problems into clear, compelling stories. We want to see how you can communicate insights effectively, just like you would in the role!
Tailor Your CV to the Role:Don’t just send a generic CV! Take the time to tailor it to the Data Scientist position. Highlight relevant experience and skills that align with the job description. We love seeing candidates who put in the effort to connect their background with our needs.
Be Clear and Concise:In your written application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate applications that get straight to the point while still showcasing your expertise and enthusiasm for the role.
Apply Through Our Website:Make sure to submit your application through our official website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end!
How to prepare for a job interview at Booking Holdings, Inc.
✨Know Your Data Science Stuff
Make sure you brush up on your data analysis, machine learning, and statistical techniques. Be ready to discuss how you've applied these skills in real-world scenarios, especially in performance marketing contexts. This will show that you can translate complex business problems into actionable data stories.
✨Communicate Clearly
Since you'll be working with various stakeholders, practice explaining your analysis results in a straightforward manner. Use examples from your past experiences to demonstrate how you effectively communicated complex ideas. This will highlight your ability to bridge the gap between data and business needs.
✨Show Your Flexibility
Be prepared to discuss how you've adapted existing data science approaches or proposed new ones in your previous roles. Booking.com values innovation, so showcasing your ability to think outside the box and improve processes will set you apart from other candidates.
✨Engage with the Community
Talk about any involvement you've had in data science communities or projects. Whether it's mentoring junior colleagues or participating in community events, demonstrating your commitment to the data science field and collaboration will resonate well with the interviewers.
