Data Scientist II, Product Analytics

Washington - Seattle Campus

Expedia Group

We empower you to discover a world of growth and potential, so you can transform travel for all.

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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.

Data Scientist - Analytics II, Product

Introduction to the Team

Expedia Product & Technology builds 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 for the traveler and our partners that drive loyalty and customer satisfaction.    

As part of the Supply Partner Product Analytics and Experimentation team at EG, we help deliver and refine meaningful applications and products for our diverse suppliers! Specifically, engage with business, strategy, product and tech teams working on compelling platforms, tools and adaptive experiences. You will contribute to product improvements through reporting and analyses using diverse statistical methods, such as AB experiments, valuation models and behavioral segmentation. You will work closely with other highly skilled analysts across EG, partnering with our Product and Engineering teams as well as colleagues across Machine Learning, Finance and Strategy. 

In this role you will:

  • Define key metrics used to monitor product performance in collaboration with stakeholders and build reporting to monitor product performance and effectiveness. Understand drivers of performance evolution and run analyses leading to action recommendations 
  • Build data pipelines from clickstream sources in collaboration with data engineering. Extract data from multiple data sources and combine them into the required datasets for model building or analytics 
  • Design complex experimentations and AB testing, and implement data science models such as incrementality, clustering, impact analysis - to find opportunities to optimize performance 
  • Build clear, concise and well-structured documentation and presentations. Tailor communications for different audiences as appropriate 
  • Grow and learn - stretch your knowledge and learn more about the business, supporting teams, new data, tools and processes 

Experience and Qualifications:

  • You have 3+ years of related work experience  
  • You are proficient in SQL and have experience with Python  
  • You have experience with A/B Testing and statistical analysis 
  • You have familiarity with data exploration and visualization tools like Tableau 
  • An experienced team member with a collaborative and proactive spirit 
  • A good communicator with an understanding of partner management skills 
  • Enjoy intellectual challenges, statistics and logical problem solving 

The total cash range for this position in Seattle is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, 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 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, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
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Tags: A/B testing Clustering Data pipelines Engineering Finance Machine Learning Pipelines Python Security SQL Statistics Tableau Testing

Perks/benefits: Career development Health care Parental leave Travel

Region: North America
Country: United States

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