Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Quantitative User Experience Researcher (Frontend) (Bangkok-based, Relocation provided)

Agoda
London
1 month ago
Create job alert
Overview

Senior Quantitative User Experience Researcher (Frontend) (Bangkok-based, Relocation provided)

Join to apply for the Senior Quantitative User Experience Researcher (Frontend) role at Agoda.

About Agoda Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of hotels and properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.


What you will do

  • Senior UX Researchers have the breadth and depth of research method skills applicable to a wide range of questions, and over time develop standout areas of research excellence. You will integrate research into the work of colleagues in other roles to achieve impact and help turn research into a strategic asset for Agoda's decisions and processes.
  • Conduct research end-to-end for high impact, guiding stakeholders to the best collaboration with research aligned to their goals.
  • Initiate research efforts serving Product Vertical goals in the medium- and long-term with a well-informed understanding of the business.
  • Formulate programmes of study and cumulative knowledge sharing relevant to the strategic objectives of their teams.
  • Lead projects in collaboration with other stakeholders and evaluate the pros and cons of various research methodologies.
  • Mentor others in the use of techniques and tools for high-quality execution.
  • Describe user problems and business opportunities to a variety of stakeholders by leveraging quantitative and qualitative data.
  • Demonstrate critical thinking beyond business requests and communicate effectively with business teams, product teams, designers, engineers, and other stakeholders (in English).
  • Enjoy collaborative work in a dynamic, data-driven, and creative environment.

Qualifications

  • Masters Degree or PhD or equivalent experience in Computer Science, Human-Computer Interaction, Information Science, Psychology, Social Science, or related field
  • 10+ years of relevant experience in consumer-facing business domains
  • Expert in quantitative research (log analysis, internal metrics triangulation, survey design, response effects, sampling, crosstabs, statistical concepts, etc.)
  • Experience with qualitative and user-centered design methods (interviews, diary studies, observation, think-aloud usability testing, etc.)
  • Comfortable with planning, scoping, conducting, analyzing and communicating research
  • Experience evaluating, negotiating, and working with external research vendors
  • Ability to describe user problems and business opportunities using both quantitative and qualitative data
  • Strong storytelling and communication skills; able to speak fluently with business people, product teams, designers, engineers, and other stakeholders
  • Enjoys collaborative work in a dynamic, data-driven, and creative environment
  • GDPR, data compliance and ethics knowledge applied to research activities

Responsibilities

  • General Role Expectations: Conducts research end-to-end for high impact; initiates research aligned to product goals; formulates programmes of study; leads cross-stakeholder research projects; assesses research methodologies and mentors others.
  • Research Skills: Evaluate opportunities, manage inbound requests, propose solid projects, execute with rigor, apply mixed methods, triangulate findings, and select appropriate tools; ensure ethical and compliant practice.
  • Communication & Collaboration: Drive cross-discipline collaboration, work with researchers and other disciplines, tailor communication to audiences, and contribute to standards of research excellence.

Equal Opportunity

Equal Opportunity Employer. Agoda values diversity and an inclusive environment. Employment is based on merit and qualifications, regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, or other legally protected characteristics. We may keep applications on file for future vacancies unless you request removal, in accordance with our privacy policy.


Employment details

  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Information Technology
  • Industries: Technology, Information and Internet


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior UX Researcher (Quantitative & Evaluative Focus)

Senior User Researcher - Agentic AI / Quantitative Research - Outside IR35

Senior User Researcher - Agentic AI / Quantitative Research - Outside IR35

Senior User Researcher - Agentic AI / Quantitative Research - Outside IR35

Senior User Researcher - Agentic AI / Quantitative Research - Outside IR35

Senior Manager of Quantitative Research Location: London

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.