Booking.com
Data Scientist II - Experimentation Consulting & Research
Booking.comNetherlands6 days ago
Full-timeRemote FriendlyResearch, Analyst
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.

Role Description:

As a Data Scientist in the Consulting & Research Team, you will be in the center of experimentation and causal research in Booking.com, embarking the journey to empower diverse high-profile business decisions through direct contact with stakeholders and innovating out-of-box causal solutions.

This role offers a unique opportunity to deep dive into the company’s most persistent and impactful challenges in decision making, and grow your expertise in a supportive environment with internal and external cutting-edge causal revolution.

You will play a key role to discover causal relationships in a wide variety of travel products and customers, challenge hidden assumptions and validate the robustness of conclusions to enable confident decisions at scale with real business actions.

Key Job Responsibilities and Duties:

  • Responsible for fully owning the design and delivery of causal solutions based on business requirements, from idea-generation, validation, implementation to stakeholder communication. Deliver customer value with the right solutions.
  • Keep a sharp eye on both the strengths and limitations of applied methodologies in real use cases. Proactively explore and research advanced statistical and causal techniques suitable for the business applications, and guide junior members as a force multiplier.
  • Identify and manage stakeholders independently. Autonomously translate business challenges into proper data stories and solutions. Capable of communicating complex solutions to business stakeholders and craft peers beyond the team’s scope with in-time updates, clear visualization, accessible documentation and effective verbal language.
  • Responsible for interpreting quantitative experiments and causal models to objectively guide key business decisions. Grow technical competency and spot opportunities to adopt more efficient approaches. Break down complex problems into tangible milestones to drive continuous improvements and actionable outcomes on product or strategy.
  • Identify trends and behaviors from data to uncover hidden causal insights across business domains. Unlock the value of causal inference by bringing together end-to-end solutions. Learn to incorporate scalability, reproducibility and long-term orientation in the work. Embed causal techniques into the bigger picture for business takeaways and recommendations.


Qualifications & Skills:

  • Experience working with dynamic project setup, multiple teams and stakeholders to align expectations and collaboration. Turning open-ended questions into clear milestones and agreed deliverables.
  • Passionate in driving innovation for real applications with curious, humble and can-do attitudes.
  • Proven ability to unpack real world causal questions, design modeling or experimentation solutions, and provide clear and actionable business recommendations with real influence.
  • Experience to research and compare new methods and validate feasibility with real data. Clearly explain the reasoning behind technical choices, and open to peer review and discussions.
  • Able to zoom in and out in problem solving. Willing to dig deep for exploration, and summarize reusable learnings and methodologies for scalable exploitation.
  • Excellent communication skills for diverse audiences. Able to discuss complex technical problems in an accessible, business-friendly manner at all phases of the project.
  • Proficient in handling large amounts of data and using causal model packages with Python, Snowpark, or R. Familiar with using causal packages. Produce well structured, readable and reproducible high quality code.


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


Inclusion at Booking.com:

Inclusion has 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.

Take it from our Chief People Officer, Paulo Pisano: “At Booking.com, the diversity of our people doesn’t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It’s a place where you can make your mark and have a real impact in travel and tech.”

We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

Application Process:

This section should provide:

  • Let’s go places together: How we Hire
  • 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. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.

Pre-Employment Screening

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

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