Senior Data Scientist, Product

Expedia Group•Seattle, WA

1d•$173,000 - $299,000•Hybrid

About The Position

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Senior Manager, Data Science, Product Introduction to Team Our Corporate Functions are made up of teams that support Expedia Group, including our Global Finance Org., Traveler and Partner Service Platform, Legal Team, Strategy and Corporate Development Team, and People & Places Org. Within this organization, the People Analytics team enables leaders and teams to easily gain strategic insights inform decisions and strategies that will help our people and the business thrive. This role actively shapes how People & Places leaders and business partners access the insights they need to make thoughtful, data-informed decisions. You will lead 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 brings together 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.
Bring 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.