Senior Data Scientist - Marketplace

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.

We are hiring two Senior Data Scientists in the Marketplace Department at Booking.com, each aligned to a distinct sub-scope:

• Loyalty & Incentives Insights: We drive the strategy of our Genius and Incentives programs through rigorous experimentation and incrementality measurement. We aim to understand traveler loyalty and build scalable frameworks that optimize our commercial incentives, working in close collaboration with ML and Product stakeholders
• Trip Management & Order Insights: We focus on improving the traveler experience by providing the right help when needed and enabling communication between travelers, partners, and customer service. We build scalable product solutions - including GenAI-powered ones - to the most significant and persistent decision-making challenges in the trip management space.

• Responsible for defining the strategy and vision for generating impact in one or more Data Science solutions by driving it from ideation to prototyping to full productionisation.
• Responsible for proactively identifying and autonomously prioritizing impactful strategic business problems, translating them into data stories and solving them effectively by applying suitable statistical data analysis and modeling methods. Leverages input from product stakeholders in all of the above to determine the right technical solutions to deliver customer value. May seek guidance from the manager on complex business problems.
• Responsible for driving key projects within the scope of their team to deliver work that informs business decisions across multiple products / business topics in parallel and/or core products / business topics of the area they work in, while self-prioritizing at high velocity. Regularly collaborating across multiple teams.
• Responsible for designing and interpreting quantitative experiments to objectively drive long-term strategic business decision making.
• Responsible for autonomously identifying and managing a broad range of stakeholders, from operational to senior managerial roles and, as required, Director level stakeholders. Maintains effective communication, addresses stakeholder needs, and conveys complex analysis results clearly. Continues to guide less experienced colleagues in all of the above, but may seek guidance from the manager in complex situations with senior stakeholders.
• Responsible for exploring and modifying existing internal and external Data Science approaches. Makes these solutions reusable by designing for easy adoption and proactively educating and upskilling peers on how to effectively utilize these solutions in their work.
• Responsible for incorporating scalability, reproducibility and long term orientation in the work they do. Regularly sharing best practices with peers in their area.
• Responsible for acting as a force multiplier for peers in their area by actively helping them with their craft through means of coaching, mentoring and setting a good example.
• Responsible for contributing significantly to the community of their area by thinking of and implementing ways to make other data professionals more effective (ie. group trainings, community projects), actively participating in community strengthening activities (ie. recruitment) and connecting their area to the rest of the business.
• Must have a deep understanding of the larger data ecosystem at Booking and how it relates to the work they do.
• Responsible for proactively collaborating with peers in related crafts (ie. Data Engineering) on all projects owned by their team, anticipating data needs to maintain smooth execution of projects.
• Responsible for having significant deep knowledge about the operational, tactical and strategic goals of their area (ie. track / vertical) and be knowledgeable 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 wider area (ie. track / vertical).
• Must be a subject-matter expert in one area of Data Science (ie. methodology, technology) and its application as an end-to-end product that generates business impact, acting as a go-to Data Science authority for senior business stakeholders of their area.

• Knowledgeable about statistical properties of (good) metrics, and ability to scalably test them
• Expertise in experimentation and knowledge of causal inference beyond A/B testing
• Expertise in SQL, Python and familiarity with other languages like R
• Experience building libraries/modules in python
• Familiarity with apis using is good, building/maintaining is great
• Strong understanding of fundamental machine learning concepts
• Strong knowledge of reporting/visualization techniques (e.g., Tableau, Graphite, Power BI, etc.)

• Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave
• Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country)
• A beautiful sustainable HQ Campus in Amsterdam, that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office
• Commuting allowance and bike reimbursement scheme
• Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers
• Free access to online learning platforms, development and mentorship programs
• Global Employee Assistance Program, free Headspace membership

• The interview process will entail a call with one of our Recruiters and a total of 3 interviews, all conducted via Zoom video conferencing.
• This role does not come with relocation assistance.