Data Scientist- Performance Marketing

Data Scientist- Performance Marketing

Full-Time 50000 - 70000 £ / year (est.) No working from home possible
Booking.com

At a Glance

  • Tasks: Design and deliver data science solutions to solve complex business problems.
  • Company: Join Booking.com, a leader in travel tech with an inclusive culture.
  • Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborate with diverse teams and contribute to community projects.
  • Why this job: Make a real impact by optimising data-driven decisions in a dynamic environment.
  • Qualifications: Master's degree and 3-5 years of experience in data analysis and machine learning.

The predicted salary is between 50000 - 70000 £ per year.

This job is with Booking.com, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.

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. Data Scientists work within the scope of their team, and occasionally across partner teams, to inform business decisions. They independently identify and manage stakeholders, effectively communicating complex analysis results. As experienced members of the team, they provide guidance to junior colleagues, act as force multipliers, and contribute significantly to their community. They stay updated about the larger data ecosystem and the goals of their track and business unit, ensuring the quality of their work through peer review. They play a key role in influencing business decisions within their specific area.

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.
  • Leverages input from business stakeholders in all of the above to determine the right technical solutions to deliver customer value.
  • 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.
  • Effectively communicates, addresses stakeholder needs, and conveys complex analysis results in a clear manner.
  • Begins to guide junior colleagues in stakeholder engagement.
  • 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, actively participating in community strengthening activities (ie. recruitment) and connecting with peers beyond their area.
  • 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.
  • Must be knowledgeable with the operational, tactical and strategic goals of their area (ie. track/vertical) and have high level knowledge of the goals of their wider area (ie. Business Unit).
  • 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)

Nice-to-Have Skills:

  • 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.

Data Scientist- Performance Marketing employer: Booking.com

At Booking.com, we pride ourselves on being an inclusive employer that values diversity and innovation. Our vibrant work culture fosters collaboration and creativity, providing ample opportunities for professional growth and development in the dynamic field of data science. With a focus on impactful projects and a supportive community, we empower our employees to thrive while making meaningful contributions to the travel experiences of people around the world.

Booking.com

Contact Details:

Booking.com Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist- Performance Marketing

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data 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 data projects, analyses, and visualisations. This is your chance to demonstrate your expertise and creativity, making you stand out from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical skills and practising common data science questions. Be ready to discuss your past projects and how you've solved real-world problems using data.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Booking.com and being part of our exciting journey.

We think you need these skills to ace Data Scientist- Performance Marketing

Data Analysis
Statistical Analysis
Machine Learning
Programming (Python, R)
SQL
Hadoop
Spark

Some tips for your application 🫡

Show Your Passion for Data:When writing your application, let your enthusiasm for data science shine through! Share specific examples of how you've used data to solve real-world problems and the impact it had. We love seeing candidates who are genuinely excited about using data to drive decisions.

Tailor Your Application:Make sure to customise your application to fit the role at Booking.com. Highlight your experience with machine learning models, A/B testing, and any relevant tools like SQL or Python. We want to see how your skills align with our needs, so don’t hold back!

Communicate Clearly:Remember, we value clear communication just as much as technical skills. When you describe your past projects, focus on how you conveyed complex data insights to stakeholders. This will show us that you can bridge the gap between data and business decisions effectively.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re proactive and serious about joining our team at Booking.com!

How to prepare for a job interview at Booking.com

Know Your Data Science Stuff

Make sure you brush up on your data analysis, machine learning, and statistical techniques. Be ready to discuss specific projects where you've applied these skills, especially in a performance marketing context. Booking.com values practical experience, so have some examples up your sleeve!

Communicate Clearly

Since you'll be translating complex data stories for stakeholders, practice explaining your past projects in simple terms. Use visuals if you can, as they can help convey your points better. Remember, it's not just about the numbers; it's about the story behind them!

Show Your Collaborative Spirit

Booking.com loves teamwork! Be prepared to talk about how you've worked with others, especially in cross-functional teams. Highlight any mentoring or coaching experiences you've had, as this role involves guiding junior colleagues.

Stay Updated on Trends

The data ecosystem is always evolving, so show that you're in the loop! Mention any recent trends or tools in data science that excite you. This will demonstrate your passion for the field and your commitment to continuous learning, which is key for a role at Booking.com.