Job Description

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Data Scientist II, Product Analytics We're looking for a passionate Advance Analyst to provide valuable analytics and decision support to Expedia's Business. This position will mainly partner with various teams in product, engineering, strategy and other business teams to optimize traffic, conversion, repeat rate & other metrics to improve the user experience, encouraging them to consider Expedia as their Trip Partner. In this role, the candidate will contribute to many aspects of business development, including product innovation/user behavior, evaluating tests and learns, opportunity identification and problem solving. We want self-starter and who have proven success in using analytics to drive innovation and user engagement of a product, then this position is for you! What you’ll do:

• Take initiative to identify current and potential problems and determine the best solution. Involve and/or manage the people and resources required
• Produce outstanding results by being proactive and committed. Continually focus on achieving positive results contributing to the company's financial success
• Understand duties and responsibilities, have vital job knowledge and technical skills, understand company mission/values, be in command of critical issues
• Communicate well both verbally and in writing, build accurate and punctual reports, deliver presentations, share information and ideas with others, listen carefully and consider what others have to say, including differing viewpoints
• Structure problems, extract and analyze data, and present the findings to corporate leadership and internal customers
• Assume end to end ownership of key analytical projects
• Proactively and directly engage with partners to assess existing and upcoming project needs and maintains regular communication on progress

Who you are:

• Demonstrated ability to work through sophisticated business problems and implement suitable solutions
• Solid experience in exploratory analytics and product funnel optimization
• Experience in at least one of R or Python or Scala or Spark or similar programming environment/tools preferred
• Proficiency in SQL, Excel
• Advance knowledge of experimentation techniques like AB Tests, Causal Inference, MVT etc.
• Excellent verbal, written communication and data visualization skills
• Understanding of advanced statistical/predictive modeling, operation research and optimization techniques
• Ability to prioritize among conflicting demands in a fluid environment
• Good to have experience and knowledge in Data Science, Predictive modeling

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®, 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™. © 2021 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 to 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.