Senior Data Scientist, Product

Expedia Expedia · Hospitality · Seattle, USA - New York - New York, WA

Expedia is seeking a Senior Data Scientist to lead the AI transformation of people analytics products, focusing on user-centered design, self-service insights, and measurable business impact. The role involves designing, building, and improving analytics products, partnering with data engineering and ML teams, and productionizing ML models.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. Measure adoption, engagement, and product effectiveness, using feedback, testing, and experimentation to refine features and improve outcomes over time.
  5. Productionize machine learning models and automate recurring analytics workflows and strengthen product reliability through documentation, testing, monitoring, and sound development practices.

Skills

Required

  • SQL
  • R or Python
  • Tableau
  • Claude Code or Codex
  • Workday
  • Qualtrics
  • Trino
  • Databricks
  • data governance
  • privacy
  • responsible artificial intelligence practices

Nice to have

  • Master’s or doctoral degree in Analytics, Data Science, Computer Science, or related quantitative field

What the JD emphasized

  • strong track record of taking products from discovery and prototyping through launch, adoption, and iteration
  • turning machine learning models and AI capabilities into usable products
  • responsible artificial intelligence practices

Other signals

  • AI transformation of generation, discovery, and delivery of people analytics products
  • productionize machine learning models
  • turning machine learning models and AI capabilities into usable products