Senior Quantitative Research Engineer, Marketplace

Join the Experience Measurement (XM) Team as a Senior Quantitative Research Engineer

Role Overview

The Experience Measurement (XM) team is seeking a Senior Quantitative Research Engineer to build and accelerate data analytic capabilities, conduct analysis, and scale dashboarding and reporting for our in-product survey program. This is a key research initiative with strategic importance for stakeholders across the business, including Leadership, Product, and Strategy.

As a Senior Quantitative Research Engineer, you are a full-stack researcher with expertise spanning data engineering, data analytics, and UX research. You thrive on learning new technical skills, think like an engineer, and apply your talents to attitudinal and behavioral data using methods from social science. You will work closely with quantitative researchers, product, and software engineers to develop data pipelines and workflows, accelerating analytic insights. You possess a deep understanding of business problems, adopt a customer-centric and problem-solving approach, and deliver timely analytic solutions. Your skills in data architecture, warehouses, incident management, workflows, analytics, and quantitative research methods enable you to autonomously drive analysis and reporting. You are experienced in working on tight timelines with engineering, product, or UX teams, and can identify opportunities to apply new concepts and approaches based on business and user needs. This includes reporting, visualization, and taking ownership of workflows and structures to ensure solutions are scalable, reproducible, and long-term focused.

Key Job Responsibilities and Duties

• Optimized Data Infrastructure: Improve and optimize the current data architecture to support increased data volume, enhance with new data sources, and meet analytics requirements.
• Automation and Scalability: Build and automate data pipelines to scale operations and handle growing data needs with minimal manual intervention.
• Data Maintenance: Quickly debug breaks in the data pipeline, ensuring storage and jobs are efficient and sunset appropriately.
• Improved Data Quality, Consistency, and Governance: Implement best practices for data validation, transformation, and monitoring to ensure reliable, consistent data that can be trusted for reporting and insights. Ensure data assets comply with enterprise requirements.
• Accelerate Data Analysis & Insight Delivery: Conduct exploratory analysis in service of business priorities, ensuring leadership, business, and product requests for analysis and scorecards are met in a timely manner.
• Real-time Insights Delivery: Ensure that insights can be delivered in real-time or near real-time to business stakeholders, improving decision-making across the organization.
• Support Advanced Analytics, Machine Learning, and AI: Develop robust data pipelines to support analytics, AI models, and machine learning workloads, enabling teams to derive more valuable insights from the data. Assist in the development of AI RAGs and agents interacting with the team’s data sources.

Role Qualifications and Requirements

• 5+ years of relevant work experience and a Master’s Degree in Business, Analytics, Data Science, Engineering, or Social Sciences
• 3+ years of experience working with logs, commercial, and behavioral data for a large-scale digital product
• 3+ years working with survey data
• 1+ years working at a consulting firm or start-up
• Expertise in ETL, workflows, data pipelines, data architecture and warehouses, incident management, data exploration, data quality control, business-facing analytics and reports, and data visualization
• Experience in experiment design, interpretation, metrics, and analysis
• Experience using AI for analytics or building RAGs is desirable
• Comprehensive knowledge of preparing and analyzing behavioral, survey, and business metrics together to drive decision making
• Advanced knowledge of SQL, Snowflake, and Airflow
• Intermediate knowledge of PySpark
• Experience delivering projects on tight deadlines and iterating quickly
• Ability to adapt to change rapidly and thrive in ambiguity
• Ecommerce or travel industry exposure
• Clear communication and presentation skills

Benefits & Perks – Global Impact, Personal Relevance:

Booking.com’s Total Rewards Philosophy goes beyond compensation to include unique benefits:

• Annual paid time off and generous paid leave, including parental, grandparent, bereavement, and care leave
• Hybrid working with flexible arrangements and up to 20 days per year working from abroad (home country)
• Amsterdam HQ with on-site meals, coffee, snacks, and multi-faith & breastfeeding rooms
• Commuting allowance and bike reimbursement scheme
• Product discounts including Genius Level 3 status and Booking.com wallet credit
• Access to online learning platforms, mentorship programs, and professional development resources
• Global Employee Assistance Program and free Headspace membership

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.