Senior Data Scientist, Product

Expedia•Seattle, WA

8d•$173,000 - $299,000•Hybrid

About The Position

Expedia Group is a global travel company that connects travelers, partners, and advertisers through its consumer brands, B2B network, and travel advertising business. The People Analytics team within the Corporate Functions organization supports Expedia Group by enabling leaders and teams to gain strategic insights and inform decisions that help people and the business thrive. This role will actively shape how People & Places leaders and business partners access insights to make data-informed decisions. The position involves leading the development of user-centered analytics products that simplify complex people data, improve self-service access to insights, and create meaningful change across the employee experience. This role combines product strategy, data science, and cross-functional partnership to deliver practical, trusted tools for leaders across Expedia Group.

Requirements

6+ years experience in data science or analytics product roles, or a related field, with a strong track record of taking products from discovery and prototyping through launch, adoption, and iteration.
Proficient in SQL, R or Python, Tableau, and Claude Code or Codex.
Comfortable working with large, complex datasets in modern analytics environments, with a preference for experience in Workday, Qualtrics, Trino, and Databricks.
Experience turning machine learning models and AI capabilities into usable products by partnering effectively with data engineering and machine learning teams.
Apply product thinking, usability principles, and structured problem framing to create intuitive experiences that reduce manual effort and support better business decisions.
Strong judgment in data governance, privacy, and responsible artificial intelligence practices, including secure access, appropriate aggregation, and clear documentation.
Master’s or doctoral degree in Analytics, Data Science, Computer Science, or related quantitative field.

Responsibilities

Realize the AI transformation of generation, discovery, and delivery of people analytics products that help business leaders and human resources partners access timely, actionable insights.
Design, build, and improve self-service analytics products using data from multiple sources, with a focus on simple user experiences, clear visual storytelling, and measurable business impact.
Partner closely with analytics, data engineering, and machine learning teams to translate business needs into product requirements, prototypes, production solutions, and ongoing enhancements. This includes wireframing, developing interactive prototypes, and UX testing as well.
Measure adoption, engagement, and product effectiveness, using feedback, testing, and experimentation to refine features and improve outcomes over time.
Productionize machine learning models and automate recurring analytics workflows and strengthen product reliability through documentation, testing, monitoring, and sound development practices.
Share product best practices across the People Analytics team through demos, enablement materials, and knowledge exchange sessions that raise the bar on product thinking and user-centered design.