New

Senior Data Scientist, Ecosystems

Full-time

Remote

Deadline

July 6, 2026

About the organization

Wikimedia Logo

Wikimedia Foundation

Organization type

Philanthropy

In A Nutshell

Location

Remote

Salary

$106,227-$167,858

Job Type

Full-time

Experience Level

Mid-level

Deadline to apply

July 6, 2026

Provide visibility into web analytics, search trends, content trends, patterns of usage, and search recall gaps.

Responsibilities

  • Integrating fragmented 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.
  • Translating analytics and complex trends by geography, project, and topic into actionable narratives that help leadership navigate uncertainty and prioritize high-impact interventions.
  • Developing 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 the Wikimedia Foundation’s websites, and FAQ structures.
  • Establishing 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.
  • Defining Measurable Outcomes: Collaborating with product leaders to set achievable goals and drafting the instrumentation requirements necessary to track success with technical precision.
  • Assessing the efficacy of new initiatives through the rigorous design and analysis of experiments (e.g., A/B testing) to understand their true impact on our global audience.
  • Interpreting 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.

Skillset

  • 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 (including structure, user journeys, and tracking mechanisms), 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.

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