Data Scientist, Experimentation

Location: London, United Kingdom; hybrid work

Company

hirify.global connects travellers with experiences, accommodations, restaurants, and other travel categories through content, technology, and two-sided marketplaces.

What you will do

• Design and analyse experiments end to end with Product Managers and Engineers across Viator.
• Translate product questions into testable hypotheses, preregistered primary metrics, guardrails, and realistic power assessments.
• Define and instrument feature-level metrics and investigate assignment integrity, exposure, and data quality before drawing conclusions.
• Build reusable queries, tooling, templates, documentation, and shared experimentation protocols.
• Communicate positive, negative, and inconclusive findings clearly with actionable recommendations.
• Perform opportunity sizing, funnel and behavioural analysis, observational measurement, and causal inference where randomisation is unavailable.

Requirements

• Solid experience in data science or a similar quantitative role supporting and influencing product teams.
• Strong understanding of statistical experimentation, including statistical power, minimum detectable effect, metric selection, peeking, and experiment validity.
• Strong proficiency in Python and SQL, with hands-on statistical analysis and experimentation experience.
• Some exposure to statistical modelling or machine learning, including regression and classification.
• Ability to define and operationalise product and feature-level metrics and communicate statistical reasoning to technical and non-technical audiences.
• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

Nice to have

• Experience with sparse conversion, heavy-tailed revenue, slow-to-observe outcomes, or variance reduction techniques.
• Exposure to causal inference methods where randomisation is unavailable.
• Experience with Statsig, Eppo, GrowthBook, or an in-house experimentation platform.
• Experience in a high-scale consumer product, marketplace, e-commerce, or travel environment.
• Interest in using modern AI tooling to accelerate analysis and make experimentation more accessible.

Culture & Benefits

• Work closely with product teams and receive review and mentorship from senior and principal data scientists.
• Build shared practices that help teams run reliable experiments faster and with less rework.
• Contribute to an accessible and inclusive candidate and recruiting experience.