Data Scientist III: Growth & Experiments

Expedia, Inc.

Greater London

Hybrid

GBP 70,000 - 100,000

Full time

6 days ago
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Job summary

Expedia Group's Hotels.com Analytics team seeks a Data Scientist III to own analytics for growth domains like customer growth, loyalty, and site performance. You will frame questions, design analyses, run experiments, and translate insights into priorities and roadmap.

Collaborate with product, marketing, and cross-functional teams; build dashboards; drive KPIs such as revenue and engagement; use SQL, Python, and Tableau to inform decisions.

Qualifications

  • Mastery of SQL and experience with complex data ecosystems.
  • Translating big data into strategic, actionable business recommendations; end-to-end data processes.
  • Excellent communication and presentation skills; ability to simplify complex information.

Responsibilities

  • Dive into customer and booking data to uncover growth opportunities.
  • Design, run, and analyze experiments (A/B tests, Pre/Post) for product/marketing.
  • Develop analytical toolkit (SQL, Python, stats, experimentation) to derive insights and recommendations.
  • Collaborate with cross-functional teams to identify challenges and provide data-driven guidance.
  • Improve Hotels.com KPIs (revenue, engagement, retention) through targeted analyses.
  • Create and maintain dashboards/reports to track KPIs and train stakeholders.

Skills

SQL
Big data
Data storytelling
A/B testing
Experimentation
Python
Tableau
Communication

Education

Bachelor's or Master's in Mathematics/Data Science/Engineering or similar

Tools

Tableau
Python

Job description

Expedia Group's Hotels.com Analytics team seeks a Data Scientist III to own analytics for growth domains like customer growth, loyalty, and site performance. You will frame questions, design analyses, run experiments, and translate insights into priorities and roadmap.

Collaborate with product, marketing, and cross-functional teams; build dashboards; drive KPIs such as revenue and engagement; use SQL, Python, and Tableau to inform decisions.

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