招聘
Benefits & Perks
•Healthcare
•Parental Leave
•Flexible Hours
•Learning Budget
•Remote Work
•Healthcare
•Parental Leave
•Flexible Hours
•Learning
•Remote Work
Required Skills
Python
SQL
Excel
Tableau
Statistical modeling
A/B testing
Experimentation
Machine learning
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.
Introduction to the team:
Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
We are seeking a skilled Data Scientist III to provide valuable analytics and decision support to drive Expedia's Content products. In this role, the candidate will partner with cross function teams to contribute to many aspects of product development, including understanding user behavior, A/B experimentation, and problem-solving using stats and causal inference techniques.
In this role you, will:
- Work as an independent trusted partner, working collaboratively with cross-function stakeholders to perform analysis and present insights, and manage regular communication
- Own end to end process in designing and running experiments (A/B tests); proactively analyze opportunities and recommend new feature to test
- Implement advanced quasi experimentation techniques to establish dollar impact for several products/ initiatives
- • Structure problems, extract and analyze data, and present the findings to corporate leadership and internal stakeholders
- Apply your knowledge with Python/ R, or any other major ML programming language to generate insights and solve business problems using ML algorithms
- Mentor junior team members and work in a cross-team collaborative environment
- 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, product performance review and strategy planning
Experience and Qualifications:
- 5-9 years of experience in data mining, statistical modeling, experimentation, and business analysis with at least Bachelor's in Mathematics, Economics, Statistics or related field (Masters preferred)
- Experience in performing complex statistical studies such as Quasi experimentation, econometric modeling, designing and interpreting A/B experiments
- Able to build ML and econometric models while knowing the underlying assumptions
- Expertise working with large data sets and proficiency in SQL, Excel and Python
- Proficiency in building high quality data visualizations using Tableau
- Familiarity with clickstream tools like Adobe Analytics or Google Analytics is a plus
- Ability to present your findings and recommendations to senior leadership till VP level
- Ability to work proactively, prioritize and lead through conflicting demands in a fluid environment
- Growth mindset and a person with high commitment and ownership towards the projects undertaken
- Strategic thinker with the ability to solve complex problems as well as able to proactively frame analytical projects.
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®, Cheap Tickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, Car Rentals.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.
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About Expedia Group
Reviews
3.8
9 reviews
Work Life Balance
4.2
Compensation
3.5
Culture
4.1
Career
4.0
Management
3.4
75%
Recommend to a Friend
Pros
Supportive work environment and colleagues
Good work-life balance
Great benefits and perks
Cons
Poor management and leadership issues
Compensation below market rate
Organizational chaos from acquisitions
Interview Experience
7 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Final Round
2
Coding Assessment
3
Tech Round
4
HackerRank Round
5
Digital Interview
6
Final Interview
Common Questions
Technical coding problems
System design
Behavioral questions
Algorithm implementation
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