Senior Data Scientist, Ecosystems
Core
Synthesize external search data and internal data lake insights to identify search recall gaps, emerging topic trends, and content visibility issues for Wikimedia's global audience.
Role type
Senior Data Scientist (Search & Visibility)
Builds
Unified views of user discovery, automated detection systems for under-indexed content, and metrics frameworks for LLM/generative search utilization.
Domain
Non-profit / Web Analytics / Search Engine Optimization (SEO)
Deliverable
dashboards & analysis
Required skills
Python, SQL, statistical modeling, A/B testing design, web analytics, SEO/GEO expertise, data visualization
Preferred skills
Familiarity with Wikimedia projects, moderation processes, and communities
Technologies
BigQuery, Matomo, Hive, Presto, Druid, Spark, Jupyter, Quarto, Superset, Ahrefs, Semrush, Trakkr AI
Responsibilities
Integrate fragmented data from internal and external sources to create a unified view of user discovery; Translate complex analytics trends into actionable narratives for leadership; Develop automated systems to detect content under-indexing; Establish metrics to track content utilization in Large Language Models; Define measurable outcomes and instrumentation requirements; Assess initiative efficacy through rigorous experiment design and analysis.
Seniority
Senior, hands-on IC