Senior Data Scientist, Experimentation

Location: London, United Kingdom; hybrid

Company

hirify.global connects people with travel and experiences through content, guidance, and two-sided marketplaces across accommodations, restaurants, and activities.

What you will do

• Own the experimentation and measurement strategy for a product domain, from framing questions to reviewing decisions.
• Provide guidance, tooling, and protocols that improve experimentation speed and rigour across Product and Engineering teams.
• Design experiments for low-traffic surfaces, shared supply, long-horizon or censored outcomes, and changes that cannot be cleanly randomised.
• Define and operationalise product metrics, guardrails, proxies, exposure definitions, and variance-reduction approaches.
• Use evidence to influence roadmaps, prioritisation, platform health, and long-term growth decisions.
• Review experiment designs and analyses, standardise recurring processes, and mentor less experienced data scientists.

Requirements

• Extensive experience in data science or a similar quantitative role supporting and influencing product organisations.
• Authoritative expertise in experimental design, variance reduction, causal inference, bandits, and Bayesian methods.
• Expert proficiency in Python and SQL, with hands-on experience in statistical modelling, quasi-experimentation, multi-arm bandits, regression, classification, and clustering.
• Experience defining and operationalising product and feature-level metrics, standardising methods across teams, and applying automation or AI to improve analytical quality.
• Strong cross-functional partnership, critical thinking, and communication skills for 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 experimentation in marketplaces, e-commerce, or travel platforms, including interference, shared supply, seasonality, and long purchase cycles.
• Experience with advanced variance reduction, proxy metrics for long-horizon outcomes, or Bayesian approaches for low-traffic surfaces and small markets.
• Experience with Statsig, Eppo, GrowthBook, or an in-house experimentation platform.
• Experience applying AI or large language model capabilities to analytical workflows and experimentation quality.

Culture & Benefits

• Work in a global travel and experiences marketplace.
• Collaborate with Product, Engineering, Data Platform, and other central functions.
• Accessible and inclusive application and recruiting experience, with reasonable accommodation available.
• Hybrid work setup in London.