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:
At Expedia Group, Data and Analytics are the core of all our strategy and decisions, responsible for the impactful insights that guide and optimize our global sales performance.
Our team supports the Supply Prioritization Engine, a data-driven product that generates targeted, high-value recommendations for commercial teams and lodging partners, helping them take the most impactful commercial actions to improve performance and remain competitive.
As a Data Scientist III, you will play a critical role in ensuring the efficiency and effectiveness of the Supply Engine and the recommendations delivered through our supply channels (e.g. Account Management, Marketing) by monitoring the pipeline health and channel performance, and surfacing insights that enable data-driven decisions.
In this role you will:
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Monitor, analyze, and optimize the performance, stability, and outputs of the Supply Engine against key business metrics and operational expectations.
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Provide data-driven insights and recommendations to support decision-making and align the Supply Engine with commercial goals across supply channels.
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Lead the development and delivery of dashboards, reporting, and analytical tools to monitor key performance indicators and support strategic initiatives.
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Identify operational gaps and inefficiencies and proactively recommend improvements and automation opportunities.
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Partner cross-functionally with product, technical, and commercial teams to identify and investigate issues, support prioritization, and influence improvements.
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Clearly articulate decision rationale, methodology, and recommendations to both technical and non-technical stakeholders, using clear and compelling storytelling.
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Mentor team members and contribute to a culture of learning and innovation.
Experience and qualifications:
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Bachelor's or Master's degree in Business, Mathematics, Economics, Statistics, or a related discipline, or equivalent experience.
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Preferred: 5+ years of experience in analytics, business intelligence, or a related field, with a proven track record of managing data-driven processes, driving improvements in operational efficiency, and delivering insights that drive business impact.
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Advanced SQL skills for data analysis, structuring, and transforming data, and experience working with complex data ecosystems are must-haves. Additional familiarity with Python or R is a plus.
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Well-versed in building and maintaining reports in Tableau or similar data visualization tools.
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Strong problem-solving skills and business acumen, with the ability to frame complex business problems as analytical tasks.
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Strong communication and stakeholder management skills, with the ability to translate complex analyses into clear, actionable insights for technical and non-technical audiences.
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Excellent attention to detail, coupled with the ability to maintain a big-picture perspective.
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Experience managing multiple projects simultaneously and delivering results in a fast-paced environment.
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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关于Expedia Group

Expedia Group
PublicExpedia Group, Inc. is an American travel technology company that owns and operates travel fare aggregators and travel metasearch engines, including Expedia, Hotels.com, Vrbo, Travelocity, Hotwire.com, Orbitz, Ebookers, CheapTickets, CarRentals.com, Expedia Cruises, Wotif, and Trivago.
10,001+
员工数
Seattle
总部位置
$6.8B
企业估值
评价
10条评价
3.8
10条评价
工作生活平衡
2.8
薪酬
3.7
企业文化
4.2
职业发展
3.3
管理层
2.5
68%
推荐率
优点
Supportive team and colleagues
Flexible work arrangements and remote options
Interesting and creative projects
缺点
Work-life balance challenges and long hours
High stress and burnout during peak seasons
Fast-paced and overwhelming environment
薪资范围
1个数据点
Intern
Intern · Machine Learning Scientist Intern
1份报告
-
年薪总额
基本工资
-
股票
-
奖金
-
面试评价
6条评价
难度
2.8
/ 5
时长
14-28周
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Assessment/Coding Challenge
4
Final Interview
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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