Senior Quantitative Research Engineer, Marketplace

Role Overview

The Experience Measurement (XM) team is looking for 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, a key research initiative with strategic importance for stakeholders across the business, including Leadership, Product and Strategy.

As Senior Quantitative Research Engineer you are a full-stack researcher with skills cutting across 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 behavior data using methods from social science. You'll sit on the XM team and work closely with quantitative researchers, product, and software engineers to develop data pipelines & workflows, and accelerate analytic insights. You have a deep understanding of business problems, adopt a customer lens and problem solving approach through timely analytic solutions. You can use your skills in data architecture & warehouses, incident management, workflows, analytics, and quantitative research methods to autonomously drive analysis and reporting within your scope. You are experienced in working on tight timelines with engineering teams, product, or UX teams. You can find opportunities to apply new concepts and approaches into action based on business and user needs. This involves reporting, visualization and taking ownership of workflows and structures to make their solutions 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 debugging breaks in the data pipeline, and 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 business priorities, ensuring LT, 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 a robust data pipeline 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 team's data sources.

• 5+ years of relevant work experience + Master 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 & 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 Ariflow.
• 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

• 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

• Let's go places together: How we Hire
• This role does not come with relocation assistance.