Senior Data Scientist, Analytics

Expedia Expedia · Hospitality · London, United Kingdom

Senior Data Scientist role focused on Localization product analytics at Expedia. Responsibilities include developing and deploying ML models, designing and leading experiments, translating data insights, building analytics pipelines, collaborating on data pipelines and intelligent systems, mentoring junior scientists, and integrating AI/ML solutions. Requires expertise in statistical modeling, experiment design, production-scale ML/NLP models, SQL, Python, and LLMs (prompt design, evaluation, RAG).

What you'd actually do

  1. Develop and deploy advanced machine learning models to solve complex business challenges and drive data-informed decision making.
  2. Design and lead complex A/B and causal experiments to measure the impact of localization changes on traveler engagement and booking conversion; own the experimentation framework for the Localization product area
  3. Translate complex multilingual data insights into compelling narratives for product, engineering, and executive audiences; influence roadmap prioritization through data.
  4. Write advanced SQL and Python to build scalable, automated analytics pipelines and self-serve dashboards
  5. Collaborate with cross-functional teams to architect and implement end-to-end data pipelines and intelligent systems that operate at production scale.

Skills

Required

  • Statistical modeling
  • Experiment design (A/B testing, quasi-experiments, causal inference)
  • Building ML/NLP models at production scale
  • Advanced SQL
  • Advanced Python
  • Working with large-scale, unstructured text data
  • LLMs (prompt design, evaluation, RAG patterns)
  • Mentoring junior data scientists
  • Data storytelling

Nice to have

  • Multilingual data insights
  • Scalable dashboards
  • Influence product and business strategy

What the JD emphasized

  • production scale
  • production-quality code
  • LLMs

Other signals

  • Develop and deploy advanced machine learning models
  • Design and lead complex A/B and causal experiments
  • Collaborate with cross-functional teams to architect and implement end-to-end data pipelines and intelligent systems that operate at production scale
  • Safely integrate and operate AI/ML‑enabled solutions that improve outcomes
  • experience working with large-scale, unstructured text data and LLMs