About this role
Job title: Senior Data Scientist
About the Role As a Senior Data Scientist, you will bridge the gap between complex datasets and strategic action. You will synthesize information from external sources such as Google Search Console, Semrush, Ahrefs, Matomo, and WMF's data lake to develop visibility and insights into search recall gaps and emerging topic trends, guiding leadership decisions and helping ensure people can find Wikimedia content.
What You'll Do
- Architect and own search and visibility insights by integrating data from our internal data lake, BigQuery, Matomo, and external intelligence tools such as Ahrefs, Semrush, and Trakkr AI among others to create a unified, granular view of how users discover and use our content across desktop and mobile domains.
- Translate analytics and complex trends by geography, project, and topic into actionable narratives that help leadership navigate uncertainty and prioritize high-impact interventions.
- Develop automated systems to detect where our content is under-indexed or missing from results, providing the data necessary to improve article coverage, alternative titles, content for Wikimedia Foundation's websites, and FAQ structures.
- Establish the metrics and frameworks to track how our content is utilized within Large Language Models and generative search engines, directly informing high-level negotiations and the valuation of our Enterprise offerings, as well as driving grassroot donor growth.
- Define measurable outcomes with product leaders to set achievable goals and draft the instrumentation requirements necessary to track success with technical precision.
- Assess the efficacy of new initiatives through rigorous design and analysis of experiments to understand their true impact on our global audience.
- Interpret website performance data to uncover insights, inform UX/UI enhancements, and support strategies aimed at improving customer experience and conversion outcomes on the Wikimedia Foundation's websites.
What We're Looking For
- Fluent in Python and Jupyter for data analysis, statistical modeling, simulation, visualization & reporting.
- Fluent in SQL and working with large-scale data using tools such as Hive, Presto, Druid, and Spark.
- Experience with building dashboards & reports using tools such as Jupyter, Quarto, Superset.
- A solid, intuitive understanding of how websites operate, combined with practical expertise in web search SEO/GEO.
- A Bachelor's degree + 5 years related experience or a Master's degree + 3 years related experience; or equivalent work experience.
Nice to Have
- Familiarity with Wikimedia projects, moderation processes, and communities.
Compensation & Benefits
- Salary: US$106,227 to US$167,858 per year for US-based applicants; pay may be adjusted for location outside the US.
- Remote-first organization with staff in 40+ countries; committed to competitive, equitable compensation aligned with values and culture.