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Senior Data Scientist, Product Analytics

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Data Scientist, Product Analytics (Machine Learning/NLP): Developing analytics, experimentation frameworks, and intelligent systems for Expedia's Localization product with an accent on user behavior analysis, causal inference, and production-scale ML/NLP. Focus on designing A/B and causal experiments, building scalable SQL and Python pipelines, integrating LLM and RAG solutions, and influencing product decisions through multilingual data insights.

Location: London, United Kingdom; hybrid work with at least three days per week in the office. Relocation assistance is not available.

Company

hirify.global is a global travel company connecting travelers, partners, and advertisers through consumer brands, B2B travel services, and travel advertising.

What you will do

  • Provide analytics and decision support for the Localization product within Content Product Analytics.
  • Develop and deploy machine learning and NLP models for complex business challenges.
  • Design and lead A/B tests, quasi-experiments, and causal inference studies measuring localization impacts on engagement and booking conversion.
  • Build scalable analytics pipelines, self-service dashboards, and end-to-end data systems using SQL and Python.
  • Translate multilingual data insights into recommendations for product, engineering, and executive stakeholders.
  • Mentor data scientists and engineers and co-own metric frameworks and decision workflows.

Requirements

  • 8+ years of industry experience in data science, applied science, or analytics, or 6+ years with a relevant MS or PhD.
  • Bachelor’s degree or higher in Statistics, Economics, Computer Science, Data Science, or a related quantitative field, or equivalent experience.
  • Expertise in statistical modeling, experiment design, A/B testing, quasi-experiments, and causal inference.
  • Production-scale experience with ML/NLP models, large-scale unstructured text data, and LLMs, including prompt design, evaluation, and RAG patterns.
  • Advanced SQL and Python proficiency, with experience writing clean, production-quality code and building scalable dashboards.
  • Ability to work independently, manage cross-functional projects, influence product strategy, and mentor junior data scientists.

Culture & Benefits

  • Flexible work model combining office and remote work.
  • Supportive environment focused on career growth, continuous learning, and technical excellence.
  • Inclusive and accessible recruiting and work environment.
  • Work contributing to travel products used by millions of people.

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