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 make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we can empower everyone to experience the world.
Role Description
The Experience Measurement (XM) team is looking for an experienced quantitative researcher to drive the delivery of our in-product survey program, a key research initiative with strategic importance for stakeholders across the business, including Leadership, Product and Strategy.
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As a Lead Quantitative Researcher within the XM (Experience Measurement) team, you work closely with a diverse group of research, product and tech colleagues to develop and deliver a complex in-product customer experience measurement program, building the analysis roadmap, governance and reporting strategy to create product impact. You also lead the charge in building key stakeholder relationships and socializing the program and resulting insights, leveraging these relationships to drive business impact, spot opportunities, and evolve the program strategy and governance.
In addition to your work on the in-product survey program, you are responsible for developing and evangelizing the use of logs analytics as a new capability within the XM team and broader Research craft, helping the business better understand the relationship between in-product touchpoints and customer attitudes and commercial behavior, to inform product development. Experienced in using data to help stakeholders better understand foundational truths about users, you will autonomously define opportunities by identifying the next questions, and sharing your vision to get others to come along.
As Quantitative Research Lead, you are adept at working with large datasets from a variety of sources, querying databases, building data tables, and drawing from an extensive statistical toolbox to analyze your data. You are experienced at working with a product team, including product managers, designers and engineers, to realize a shared vision.
You are an empathetic collaborator, both experienced in and enthusiastic about mentoring other researchers. You are an experienced communicator who enjoys both sharing your own specialized knowledge and learning from others.
Key Job Responsibilities and Duties
- Be responsible for leading XM's in-product experience measurement strategy from the research side, developing a multi-phased plan for the introduction of a ambitious survey program and the delivery of foundational analyses and reporting, self-serve survey tooling, and rich insights into the customer experience and lifecycle;
- Drive and evangelize the use of logs analytics as a part of the XM (Experience Measurement) Research Program, and support the development of this capability within the XM team and the broader Research craft;
- Work on large-scale user data, including log behavior data, in your analysis and modeling. Collaborate with data and engineering teams to extend data infrastructure and instrumentation for data-driven insights.
- Develop code and statistical models to understand user experience and the contribution that in-product behavior makes to customer attitudes and commercial outcomes.
- Conduct empirical research using methods from computer science, quantitative social science, statistics, econometrics, and other fields to understand user behavior and extract meaningful patterns from large data sets.
- Examine existing data and product designs to generate hypotheses and plans for high-impact research.
- Socialize your findings to internal stakeholders to ensure that business decision-making is supported by your findings;
- Work with other researchers within the business to improve research quality, and other aspects of the craft.
- A proven track record of 7+ years as a quantitative researcher, data scientist or data engineer in a large organization;
- Experience in defining UX-oriented metrics and run in product experiments to test, validate, and improve these metrics
- Experience in large-scale data work, including cleaning, sampling, pipeline, and logging infrastructure
- Masters or PhD in Statistics, Mathematics, Physics, Economics, Operations Research, Engineering, social sciences or a related quantitative field, or equivalent practical experience
- Coding languages: Intermediate to advanced knowledge of R and Python;Independent in advanced SQL
- Ability to interpret and present research findings from complex data sets to "tell the story" and deliver actionable insights;
- Experience of, and affinity for, working collaboratively with a diverse team of researchers to tackle complex problems
- Ecommerce or travel industry exposure
- Expertise in descriptive, inferential, and multivariate statistics, including t-test and ANOVA, and experimental design.
- Track record of delivering insightful, useful reporting to business stakeholders using data visualization tools such as Tableau;
- Strong and direct communication style including a willingness to manage expectations around interpretation of findings and providing clarity about the benefits and limitations of various quantitative methods;
- Analytical - Investigative, inquisitive, always asking 'why?'
- Collaborative - Able to facilitate effective working among colleagues in various roles.
- Organised - Capable of managing multiple projects simultaneously
- Articulate - Able to convey customer insights persuasively and accurately.
- Principled - Focussed on delivering high-quality research with integrity.
- 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
Diversity, Equity and Inclusion (DEI) 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. Take it from our Chief People Officer, Paulo Pisano: "At Booking.com, the diversity of our people doesn't just create a unique workplace, it also creates a better and more inclusive travel experience for everyone."
We will ensure that individuals with disabilities are provided reasonable adjustments to participate in the interview process. Please contact us to request adjustments.
Career Development Opportunities
- Bi-annual performance conversations, company-wide mentoring program, and internal development opportunities
- Unlimited access to online learning platforms: Udemy, Coursera, LinkedIn learning, O'reilly
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.