Data Scientist II, Analytics - Product, Landing

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.

Data Scientist II, Analytics - Product, Landing

Introduction to the Team:

At Expedia Group, our mission is to power global travel for everyone, everywhere. The Landing Analytics team plays a pivotal role in shaping the traveler experience by leveraging data to inform decisions, optimize performance, and uncover opportunities for innovation. We work cross-functionally with product, engineering, and business stakeholders to deliver actionable insights and scalable solutions that drive impact across our platforms.

As a Data Scientist II, you'll join a collaborative and curious team that values transparency, continuous learning, and data-driven storytelling. This is a fantastic opportunity to grow your analytics career while contributing to meaningful projects that influence millions of travelers worldwide.

In this role, you will:

• Apply analytics principles and playbooks to solve business problems with moderate guidance.
• Extract, transform, and analyze data from multiple sources to build models and generate insights.
• Design and execute experiments (e.g., A/B tests, causal impact studies) to evaluate business strategies.
• Build and interpret models such as linear/logistic regression and clustering, and understand their assumptions and applications.
• Create clear, inclusive visualizations and dashboards that communicate insights to technical and non-technical audiences.
• Collaborate with stakeholders to refine project goals, iterate on solutions, and deliver impactful recommendations.
• Write efficient, reproducible code and documentation using tools like GitHub, IEX, and Confluence.
• Empower stakeholders through training and enablement on analytics tools and dashboards.
• Demonstrate initiative in learning new modeling techniques and applying them to current projects.
• Contribute to a culture of peer review, knowledge sharing, and continuous improvement.

Experience and Qualifications:

• Education & Experience :
  
  • Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, or a related field.
  • 1-2+ years of experience in data analytics or a comparable role.
  • Proven track record of delivering data-driven insights that influenced business decisions.
• Technical Skills :
  
  • Proficiency in SQL, Python, R, or similar tools for data analysis and visualization.
  • Understanding of descriptive statistics, probability theory, and statistical testing.
  • Experience with data modeling techniques and experiment design.
  • Familiarity with big data challenges and performance optimization.
  • Ability to write intermediate SQL queries and build scalable data pipelines.
• Core Competencies :
  
  • Strong critical thinking and problem-solving skills.
  • Effective communication and storytelling abilities.
  • Business acumen and ability to translate complex data into actionable insights.
  • Collaborative mindset and openness to feedback.
  • Commitment to inclusive design and accessibility in data visualization.

#LI-MF2

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, religion, gender, sexual orientation, national origin, disability or age.