Data Scientist II, Analytics

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 global hybrid work setup (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. 

What You Will Do:

• Apply your expertise in quantitative analysis, data mining, data visualization with a goal of improving customer experience

• Work with multiple stakeholders, manage product analytics projects, and operate within a community of analysts, sharing findings, wins and methodologies

• Own end to end process in designing and running experiments (A/B tests); proactively see opportunities and recommend new feature for test and learn

• Contribute to tracking measures of success and supporting metrics, build accurate and easy to consume dashboards/reports

• Collaborate with the product teams in goal setting, opportunity sizing, product performance review and strategy planning

• Structure problems, extract and analyze data, and present the findings to corporate leadership and internal stakeholders

• Apply your knowledge with SQL, Python, or R, or any other major programming language to generate insights and solve business problems

Who You Are:

• 3+ 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

• Expertise working with large data sets and proficiency in SQL, Excel

• Experience in at least one programming language (R/Python) 

• Experience in statistical analysis and A/B testing, predictive modeling, computational systems, and optimization techniques

• Experience with BI tools such as Tableau

• Excellent verbal, written, and data visualization skills

• Independently manage stakeholders with frequent communication, expectation management, meeting deadlines and the backlog

• Demonstrated ability to manage projects and work with different functions (product, strategy, engineering, etc.)

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 Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group’s family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. 

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.