Data Scientist II, Analytics

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Data Scientist II, Analytics Introduction to the team Expedia Group B2B connects partners across the travel industry to our leading technology, supply, and services - helping them deliver seamless travel experiences to their customers. From airlines and hotels to financial institutions and other travel platforms, we power smarter, faster, and more impactful travel solutions through the most connected marketplace in the world.

The data scientist II role sits on the Commercial Partnerships Analytics team in the B2B division of Expedia Group. This team supports all partnerships in the Americas across two products, including the largest partnership in the business. In this role, your ability to dive into the details, applying statistical techniques and AI, while also thinking more broadly about shared business context and macro trends will help us to grow these important partnerships each  this role, you will:

Clean, query, combine, and validate structured data independently, and work with unstructured data under guidance, using SQL and/or Python Manage timelines and priorities for small analytics projects while building trust and credibility with stakeholders.

Perform descriptive and inferential analyses independently in a business context, with recommendations on next steps.

Communicate insights and recommendations to technical and non-technical stakeholders through clear visualizations and presentations.

Experience & Qualifications Experience applying statistical or analytical methods to business, product, customer, or partner questions.

Experience with SQL and proficiency in Python, R, or a similar programming language.

Understanding of descriptive statistics, inferential analysis, experiment design, and statistical concepts.

Experience not just using AI but also validating its work and end products

Experience cleaning, joining, validating, and analyzing structured data from multiple sources.

Ability to translate business questions into measurable metrics and analytical approaches.

Ability to communicate insights clearly through written summaries, visualizations, dashboards, and presentations.

Ability to manage small projects and collaborate with technical and non-technical stakeholders.

Bachelor’s degree in statistics, mathematics, computer science, data science, economics, or related technical field; or Equivalent related professional experience.#LI-DNIPlease note that this role is only available in Seattle, in alignment with our flexible work model which requires employees to be in-office at least three days a week. We are unable to offer relocation assistance for this role.

The total cash range for this position in Seattle is $ to $. Employees in this role have the potential to increase their pay up to $, 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…