As Quantitative Researcher 1 within the XM team, you will work closely with lead quantitative researchers and engineers to accelerate delivery and scalability of data pipelines & workflows, statistical models, and measurement capabilities powering an insights platform.
Key Job Responsibilities and Duties:
Business Impact: Learn Booking's business and actively make connections between their research activities and benefits to the team. Developing awareness of larger business ecosystem to share
Collaboration & Communication: Listen and translate team needs into research project success criteria Find ways to discuss and share their work with other researchers, learning different approaches Prioritize findings from data to reveal the relevant impact of the findings for the business Learn how to revise research finding communications for relevance to various stakeholders
Research Community Contributions: Junior researchers should take advantage of mentoring and feedback programs, but are not expected to contribute beyond participation
Partner closely with more senior colleagues to get mentoring, including how to prioritize research projects and expand skill set
Research Community Participates in opportunities within the research community. Gathers feedback on their work from mentors, or through Research Questions Forum or similar
Internal Stakeholders - Has some limited direct contact with stakeholders that grows over time in role. Works with Research Manager to scope and prioritize work, and on how best to share findings to the teams
Role Qualifications and Requirements
Skills & Experience (essential):
Master Degree in Data Science, Statistics, or Applied Mathematics
2+ years of experience working in UX measurement & modeling
1+ years working in Quant Research or Data Science at a consulting firm or start-up
Experience with big data ecosystems: ETL, workflows, and model development.
Comprehensive knowledge of statistical methods for analysis of behavioral and open text data using NLP, ML, or causal inference, and hands-on experience writing code to develop statistical models.
Advanced knowledge of PySpark and SQL.
Experience delivering projects on tight deadlines, and iterating quickly.
Ability to adapt to change rapidly and thrive in ambiguity.
Skill & Experience (desirable):
Ecommerce or travel industry exposure
Experience in survey data analysis, experiment analytics, or using LLMs for text analysis
Experience with Airflow and Gitlab
Clear communication and presentation skills
Your qualities:
Productive– Able to focus and deliver hands-on coding projects quickly
Organized – Capable of managing multiple projects simultaneously
Principled – Deliver high-quality, transparent work with integrity
Application Process
Portfolio review
Recruitment Phone Screen
Interview with our Research manager
Technical interview with 2 quantitative researcher and data scientist
Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:
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 , 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
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.
