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.

Introduction to team

Private Label Solutions (PLS) is the B2B arm of Expedia Group. We open up our supply and innovative technology to businesses looking to take on the world of travel. These businesses, sometimes referred to as our ‘demand partners’, include global financial institutions (e.g. AMEX), corporate managed travel, offline travel agents (e.g. Flight Centre), global travel suppliers (e.g. Delta) and many more.

The Data Scientist III - Revenue Optimization Analytics role is vital to the Analytics team supporting Revenue Optimization initiatives in PLS. This team leverages advanced analytics capabilities, best practices, and processes to address complex business challenges and identify revenue opportunities. As a high-performing individual contributor, you will consistently apply and enhance these analytics capabilities to drive impactful solutions. In this role, your expertise in data-driven decision-making, along with your ability to operate largely independently and mentor junior colleagues, will significantly enhance revenue performance and optimize business strategies across the organization. We are an analytics function, and as such, we are the bridge between our Machine Learning Science and Engineering teams and senior commercial stakeholders (VPs and C-suite).

In this role, you will:

• Apply analytical and strategic thinking to identify business opportunities.

• Proactively propose new or alternate solutions and commercial actions to enhance our capabilities.

• Measure the impact of commercial actions.

• Work with big data, navigating potential challenges and providing explanations to both technical and non-technical partners with minimal guidance.

• Frame complex business problems as analytical tasks, breaking them down into manageable chunks.

• Present results and suggest next actions to senior stakeholders.

Experience and qualifications:

Education

PhD with 2+ years of experience, Master's or Bachelor’s degree with 4+ years of experience (in quantitative fields such as Mathematics, Physics, Statistics, Computer Science, Economics, etc).

Functional/ Technical Skills

• Demonstrable advanced-level experience in using SQL (Python or R, nice to have).

• Capacity to influence senior stakeholders and colleagues.

• Data visualization.

• Experience applying Probability and Statistics in business settings.

• Problem solving.

• Critical thinking.

• Business acumen.

• Experience in Revenue Optimization.

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

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