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Senior Software Development Engineer

Job in Seattle, King County, Washington, 98127, USA
Listing for: Expedia Group
Full Time position
Listed on 2026-07-21
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 184500 - 258000 USD Yearly USD 184500.00 258000.00 YEAR
Job Description & How to Apply Below
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.

Senior Data Scientist
- Customer Data Platform As a Senior Data Scientist, you will help shape what the team builds by identifying the right questions, structuring the analysis needed to answer them, and translating findings into practical recommendations. This role is especially well suited for someone who thrives in highly cross-functional environments and enjoys bringing clarity, structure, and measurable impact to complex  this role, you will:

Partner with product, engineering, analytics, and business stakeholders to frame ambiguous opportunities, define success measures, and shape high-value problem statements before solutions are built

Lead high-impact analysis that uncovers trends, diagnoses root causes, and generates actionable insight to improve product, operational, or customer outcomes

Design and maintain robust measurement approaches, KPI frameworks, and governance practices that improve decision quality and create alignment across stakeholders

Translate large, complex, and sometimes messy datasets into clear narratives, recommendations, and tradeoffs that influence prioritization and investment decisions

Build scalable analytical assets, methodologies, or data science solutions that can be used repeatedly across the team or domain

Mentor other team members by raising the bar on analytical thinking, structured problem solving, and data-informed decision making

Experience &

Qualifications:

You have a bachelor’s degree in Computer Science , Statistics, Mathematics, Economics, Engineering, Data Science, or related technical field; or Equivalent related professional experience

You have 8+ years of relevant professional experience

You have substantial experience applying advanced analytics, experimentation, statistical methods, and data storytelling to business or product problems

You have experience structuring complex business issues and partnering cross-functionally to turn them into scalable analytical or data science solutions

You are proficient in SQL and at least one analytical programming language such as Python or R, and you are comfortable working with large-scale structured and semi-structured data

You are effective at communicating insight, tradeoffs, and recommendations to technical and non-technical stakeholders

Preferred qualifications

You have experience operating in a product, platform, marketplace, or customer-focused technology environment

You have built or influenced KPI frameworks, decision models, or governance mechanisms that improved prioritization and execution

You have experience mentoring other analysts or data scientists and contributing to stronger analytical standards across a team or domain

You have worked with experimentation, causal inference, forecasting, segmentation, or other methods used to support strategic product and business decisions

You are comfortable working autonomously in fast-moving environments and can move from open-ended question to clear recommendation with limited direction

Location

Please note that this role is only available in the following locations:
Seattle or Austin, in alignment with our flexible work model which requires employees to be in-office at least three days a week.#LI-MC1

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…
Position Requirements
10+ Years work experience
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