Data Scientist II Product Analytics

Our Expedia Product & Technology division builds innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A unified, singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction.

Checkout product analytics is a part of the global product analytics team in Expedia. We as a team support key business decisions throughout the product development lifecycle that improves the user experience for millions of Expedia customers on all brand’s Checkout and confirmation pages. This involves uncovering customer friction points, hypothesis generation and prioritization, experimentation design, valid and impartial test analysis and recommendations.

In this role, you will:

• Be a go-to expert on Checkout user behavior data for vacation rentals & the Vrbo brand
• Influence Checkout product decisions and roadmap by crafting insightful data-driven stories
• Set measurement framework and targets to support Checkout strategy
• Provide requirements for Checkout data capture that helps us understand and optimize our Product
• Be a part of a team that provides end to end a/b testing: from discovery analysis, to test design, test evaluation and recommendations for future iterations
• Keep up-to-date on developments in the industry to help drive Expedia Group’s innovation

Experience and qualifications:

• You have 2+ years of experience in data mining, statistical modelling, and data analysis, preferably in ecommerce industry, with at least bachelor’s in mathematics, engineering, science, statistics or technical degree
• You have expertise working with large data sets and proficiency in SQL, Excel
• You have experience in at least one programming language (R/Python)
• You are experienced in statistical analysis and A/B testing and have knowledge of predictive modelling
• You have experience with digital analytics tools such as, Adobe Analytics, and experience with BI tools such as Tableau
• You have excellent verbal, written, and data visualization skills
• You are able to manage stakeholders with frequent communication, expectation management, meeting deadlines and the backlog