Data Scientist Analytics III - Checkout

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Data Scientist Analytics III - Checkout

Introduction to the team

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 apart of the global Yield and 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 Booking 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

• 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

• Lead Checkout end to end a/b testing: from discovery analysis, to test design, test evaluation and recommendations for future iterations

• Proactively engage with Checkout product managers to define upcoming project needs and maintain regular communication on progress

• Get alignment across the org by sharing key Checkout analytics updates and involving the broader Analytics, Product, and Business teams for decision-making when appropriate

• Keep up-to-date on developments in the industry to help drive Expedia Group’s innovation

Experience and qualifications:

• 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.

• Ability to communicate technical concepts concisely and clearly to senior level executives

• Demonstrated ability to work through complex business problems and implement suitable solutions.

• Ability to perform in a fast-paced environment and be comfortable with ambiguity

• Experience creating and analyzing drivers of performance metrics.

• Experience with large data sets and proficient in SQL or other programming languages (R, Python)

• Expertise in Web Analytics, such as Adobe Analytics or Google Analytics Premium

• Advance knowledge of experimentation techniques like AB Tests, Causal Inference, multivariate testing

• Ability to interpret machine learning models such as propensity modelling and forecasting techniques

The total cash range for this position in Seattle is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best