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Data Scientist, Analytics II

United Kingdom - London


Data Scientist, Analytics II

Are you excited by the opportunity to pioneer the future of travel? Do you want to redefine the way people plan, search for, and book their travel?

At Expedia Group, we believe that travel brings the world together, and we are passionate about the endless possibilities. This role is a great opportunity to join our global Product Analytics and Experimentation team where we are user experience optimization obsessed!

You will be defining and driving the analysis, measurement and optimization of Content – a core platform capability that powers customer engagement for all Expedia Group brands. In this exciting area of the platform, you’ll work with our Product and Technology partners, and across brands to analyse Content such as property media (images, tours), destination guides or customer reviews.

Key responsibilities include:

  • Defining product performance metrics and establishing key drivers.
  • Identifying and using new or existing data sources to build a holistic view of the performance of product features.
  • Exploratory analysis to find opportunities to minimise friction across customer flows and generate ideas for experimentation.
  • Quantifying optimisation opportunities to inform roadmap prioritisation.
  • Contributing to our test and learn culture by applying sophisticated experimentation methodology across partner teams.
  • Applying advanced analytics to develop a deeper understanding of the value of Content.
  • Collaborating across Product Analytics to build common Group-wide data assets, tools and methodologies.

Who you are:

  • Excellent logical thinking, a very strong background (Bachelor’s/Master’s degree) in a quantitative field such as mathematics, physics, engineering, operations research, data science or similar.
  • Demonstrated ability to work through complex business problems and implement suitable solutions.
  • Understanding of advanced statistical/predictive modelling.
  • Experience in conversion rate optimisation/multivariate testing.
  • Experience in web analytics using tools such as Adobe Analytics or Google Analytics.
  • Experience with large datasets and proficient in SQL and another programming language (e.g. R, Python).
  • Excellent verbal, written and data visualization skills.
  • Ability to prioritize among conflicting demands and be comfortable with ambiguity.
  • Sharp focus on results and strong attention to detail.

What we can offer you?

  • Challenging statistical problems, a business that loves to test and learn, and billions of data points!
  • Exceptional analytics stack (we need it for the billions of data points!).
  • A community of analysts all working together in an environment that encourages innovation.
  • Personal growth (conference attendance, skillset expansion, job rotation, etc.).
  • An industry that impacts millions of travellers around the world.
  • Exposure to senior Product, Technology and Data leaders.

About Expedia Group 

Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia®,®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®,™, and Expedia Cruises™.  

© 2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

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Job Category
Technology Group

Job Function
Data Science

United Kingdom - London

Job Type
Full-Time Regular

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