Data Scientist II - Experimentation Consulting & Research

Join Booking.com as a Data Scientist in Experimentation Consulting & Research

About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. 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 at the center of experimentation and causal research at Booking.com, empowering diverse high-profile business decisions through direct contact with stakeholders and innovating out-of-the-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 in discovering causal relationships in a wide variety of travel products and customers, challenging hidden assumptions, and validating the robustness of conclusions to enable confident decisions at scale with real business actions.

Key Job Responsibilities and Duties:

• Fully own the design and delivery of causal solutions based on business requirements, from idea generation, validation, and implementation to stakeholder communication. Deliver customer value with the right solutions.
• Maintain awareness of both the strengths and limitations of applied methodologies in real use cases. Proactively explore and research advanced statistical and causal techniques suitable for business applications, and guide junior members as a force multiplier.
• Independently identify and manage stakeholders. Translate business challenges into proper data stories and solutions. Communicate complex solutions to business stakeholders and peers beyond the team’s scope with timely updates, clear visualization, accessible documentation, and effective verbal language.
• Interpret 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. Incorporate scalability, reproducibility, and long-term orientation in your work. Embed causal techniques into the bigger picture for business takeaways and recommendations.

Qualifications & Skills:

• Experience working with dynamic project setups, multiple teams, and stakeholders to align expectations and collaboration. Ability to turn open-ended questions into clear milestones and agreed deliverables.
• Passionate about driving innovation for real applications with a curious, humble, and can-do attitude.
• Proven ability to unpack real-world causal questions, design modeling or experimentation solutions, and provide clear and actionable business recommendations with real influence.
• Experience researching and comparing new methods and validating feasibility with real data. Ability to clearly explain the reasoning behind technical choices, and openness 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. Able to produce well-structured, readable, and reproducible high-quality code.

Benefits & Perks - Global Impact, Personal Relevance:

• Annual paid time off and a 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.

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.