Data Scientist II - Marketing Automation Performance Analytics

Expedia Expedia · Hospitality · Seattle, WA

Expedia Group is seeking a Data Scientist to build and maintain an AI and automation layer for marketing performance analytics. The role involves designing agent-assisted workflows, automating performance analysis, building anomaly detection systems, and creating feedback loops to improve insights and decision-making. The position leverages tools like Claude, GPT, SQL, and Python, focusing on making analytics teams more effective through AI.

What you'd actually do

  1. Design, build, and maintain an automation and AI layer for recurring performance workflows including weekly/monthly reporting, anomaly detection, and performance deep dives
  2. Develop agent-assisted analytical workflows that accelerate root-cause diagnosis, surface insights earlier
  3. Partner with performance analysts to translate business questions into reusable, automated frameworks that improve over time through feedback loops
  4. Create clear, actionable outputs (automated commentary, visualizations, structured insights) that reduce manual effort while maintaining analytical rigor and business context
  5. Support performance deep dives with rapid data exploration, segmentation analysis, and diagnostic workflows that combine domain knowledge with technical automation

Skills

Required

  • 2+ years of experience in a highly analytical role (marketing analytics, data science, business intelligence, marketing automation, or comparable product analytics role)
  • Proven ability to translate ambiguous business problems into structured, repeatable analytical solutions
  • Experience with marketing analytics platforms and datasets (Google Analytics, Adobe Analytics, Tableau, or similar BI tools)
  • Results-driven with an operational mindset, focused on building tools and systems that deliver sustained value, not just one-off analyses
  • Excellent communication and collaboration skills; able to work cross-functionally with analysts, product managers, and business stakeholders to co-design solutions
  • Self-directed learner who thrives in a fast-paced environment and is comfortable iterating on solutions based on feedback and changing requirements
  • Strong Skills in SQL and Python; comfortable building automated pipelines and integrating multiple data sources

Nice to have

  • organic search (SEO/AEO) knowledge is a strong plus
  • Demonstrated proficiency in AI and automation applications within analytics or marketing, specifically experience building workflows with GenAI to automate analysis, reporting, or insight generation.
  • Hands-on experience with prompt engineering, retrieval-augmented generation (RAG), embeddings, or multi-modal AI applications
  • Familiarity with organic search (SEO) or agentic search (AEO) performance drivers, ranking systems, and key metrics
  • Experience building or contributing to analytics platforms, data pipelines, or internal tools that scale analytical capabilities
  • Background in growth marketing, performance marketing, or e-commerce analytics
  • Knowledge of advanced statistical or machine learning techniques applied to marketing measurement or optimization problems

What the JD emphasized

  • build and maintain the AI and automation layer
  • design agent-assisted workflows
  • automate recurring performance analysis
  • build proactive anomaly detection systems
  • create feedback loops
  • building workflows with GenAI to automate analysis, reporting, or insight generation

Other signals

  • design agent-assisted workflows
  • automate recurring performance analysis
  • build proactive anomaly detection systems
  • create feedback loops
  • leverage tools like Claude, GPT
  • build the operating model for marketing performance in the age of AI