Senior Software Development Engineer

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 spaces.

• 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.

• You have a bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, Engineering, Data Science, or a 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.

• 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
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Seattle or Austin. The role requires employees to be in office at least three days a week.

Salary
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The total cash range for this position in Seattle is $ to $. Employees may increase their pay up to $ based on ongoing, demonstrated, and sustained performance.

Benefits and perks
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Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at

Accommodation requests
:
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at

Equal Opportunity
:
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, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E‑Verify.