Data Scientist III, Product Analytics

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!
The Product Analytics team focuses on using the power of data to improve the customer experience throughout the Shopping path on all Expedia Brands. A role working cross-functionally to deliver great features to our customers on the Expedia brands.
As a data scientist III in the team, you will partner with our Product and wider Analytics teams in to understand performance of our products. Examples include identifying new success measures, automating elements of our reporting and using advanced analytics methods to drive new test hypotheses.

Key responsibilities include: 

• Understanding the interaction of key test and learn metrics on the Lodging at Expedia Group and their relationship with strategic and performance goals
• Exploratory analysis to identify friction across the funnel impacting metrics, and quantify the business impact of this
• Managing reporting and the reporting pipeline of experimentation impact
• Working with the wider product analytics team at Expedia Group to get a deeper understanding of our performance

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 and 4 years of experience in industry or equivalent.
• Experience creating and analysing drivers of performance metrics.
• Demonstrated ability to work through complex business problems and implement suitable solutions.
• Ability to use and interpret machine learning models such as propensity modelling and forecasting techniques.
• Creative and analytical in thinking with a love for data, to both disagree with and convince senior partners backed by data.
• 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.