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JobsExpedia Group

Data Scientist II, Product Analytics

Expedia Group

Data Scientist II, Product Analytics

Expedia Group

2 Locations

·

On-site

·

Full-time

·

5d ago

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.

Job Description:

Our Corporate Functions are made up of teams that support Expedia Group, including our Global Finance Org., Traveler and Partner Service Platform, Legal Team, Strategy and Corporate Development Team, and People & Places Org.

The Communications Product Analytics team within Expedia Group supports end-to-end communication experience of the travelers for communications related to transactions. Our team is tasked with partnering with Product leads and helping them understand behavior of our travelers, finding insights, making data driven recommendations for Product improvements and analyzing performance of product launches through A/B testing. Our team is looking for a Data Scientist II to join the Post Booking Analytics team where Communications Analytics is housed. In this role, the candidate will contribute to many aspects of product development, including understanding user behavior for on-site search, off-site interactions, test and learn, opportunity identification, and problem-solving. If you are a self-starter and have demonstrated success in using analytics & data science to drive innovation and user engagement of a product, then this position is for you!

In this role, you will:

  • Proactively identify problems and recommend solutions for the product roadmap

  • Design, analyze, and interpret A/B tests; promote experimentation best practices

  • Build reports and dashboards to track key product metrics

  • Work with large, complex datasets to answer questions from Product Managers

  • Write SQL queries and create clear visualizations to tell compelling data stories

  • Take ownership of analytical projects from start to finish

  • Present insights to leadership and collaborate with cross‑functional teams (Product, Design, Research, Engineering)

  • Communicate effectively in writing and verbally

  • Stay focused on delivering high‑quality, timely results

Experience & Qualifications:

  • 2–4 years of experience in analytics or data science

  • Strong problem‑solving skills and ability to translate insights into action

  • Experience with predictive modeling, exploratory analytics, and statistical methods

  • Proficiency in Python/R, SQL, and Tableau (or similar tools)

  • Solid understanding of A/B testing concepts

  • Ability to build common models (regression, clustering) and perform data preprocessing

  • Understanding of data models and their appropriate use cases

  • Excellent communication skills and comfort working with global teams

  • Ability to prioritize in a fast‑paced environment

  • Curiosity, initiative, and independence in finding and validating data sources

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

Expedia Group

An online travel agency that provides hotel reservations, airline tickets, and vacation packages.

10,001+

Employees

Seattle

Headquarters

$6.8B

Valuation

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