Senior Data Scientist - Customer Data Platform

Expedia•Seattle, WA

2d•$184,500 - $258,000•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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