7 дней назад
Principal Data Scientist (Experimentation)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Data Scientist (Experimentation): Building organisation-wide experimentation standards, tooling and statistical methods for a travel marketplace with an accent on causal inference, Bayesian approaches, measurement validity and low-traffic or long-horizon outcomes. Focus on designing and validating complex methodologies, improving platform health and mentoring data scientists through rigorous decision-making.
Location: London; hybrid work
Company
connects travellers with experiences through travel content, guidance and two-sided marketplaces, including , Viator and TheFork.
What you will do
- Set the technical standard for experimentation across Product Data Science, including A/B testing, quasi-experimental and Bayesian methods.
- Build protocols, frameworks and tooling that enable teams to experiment independently while maintaining rigour.
- Own measurement approaches for Viator’s most complex questions, including low-traffic surfaces and long-horizon outcomes.
- Develop and validate statistical methods through simulation-based verification.
- Serve as the final technical authority on measurement validity and communicate evidence and uncertainty to leadership.
- Mentor senior data scientists and improve experimentation through automation and AI capabilities.
Requirements
- Extensive experience in data science or a comparable 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 and machine learning.
- Experience defining and operationalising product and feature-level metrics.
- Experience standardising methods across teams and partnering with Product, Engineering and Data Platform functions.
- Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics or a related quantitative field.
Nice to have
- Experience with experimentation in two-sided marketplaces and finite shared supply.
- Experience with proxy or surrogate metrics, hierarchical methods and low-traffic experimentation.
- Experience building experimentation platforms, self-service capabilities or data products.
- Experience in high-scale technology, marketplace, e-commerce or travel technology organisations.
- Experience with AI, large language models, agentic AI, automation or tools such as Statsig, Eppo or GrowthBook.
Culture & Benefits
- Inclusive and accessible recruitment experience.
- Reasonable accommodation is available during the application and recruitment process.
- Collaboration spans Product, Engineering, Data Platform and other central functions.
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