Senior Data Scientist, Ecosystems

Remote Summary As a Senior Data Scientist, you will bridge the gap between complex datasets and strategic action. You’ll synthesize information from various external sources such as Google Search Console, Semrush, AHRefs, Matomo, as well as WMF’s data lake to develop visibility and insights into search recall gaps and emerging topic trends. Your mission is to provide leadership with the clarity needed to make confident, informed decisions. You will help inform Wikimedia’s strategy for ensuring that people continue to find the content they need from the Wikipedias and other wiki projects, as well as on the Wikimedia Foundation’s sites. You will provide visibility into web analytics, search trends, content trends, patterns of usage, and search recall gaps. You are responsible for: As a Senior Data Scientist, you will be the primary architect of our search and visibility insights. You will be responsible for:

• 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.

Skills and Experience:

• 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.

Qualities that are important to us:

• Excellent communication skills.
• You must possess the statistical nuance required to design experiments, identify statistically significant phenomena,and frame findings into clear high-level narratives.
• Comfortable working in a highly collaborative remote environment.

Additionally we’d love it if you have: Familiarity with Wikimedia projects moderation processes and communities.

About the Wikimedia Foundation

The Wikimedia Foundation is the nonprofit organization that operates Wikipediaand other Wikimedia free knowledge projects.Our vision is a world in which every single human can freely share in thesum of all knowledge.We believe that everyone has potential to contribute somethingto our shared knowledge,and everyone should be able to access that knowledge freely.We host Wikipediaand Wikimedia projects build software experiences for reading contributingand sharing Wikimedia content support volunteer communitiesand partners who make Wikimedia possibleand advocate policies that enable Wikimediaand free knowledge thrive. The Wikimedia Foundationis charitable not-for-profit organizationthat relies on donations.We receive donations from millions individuals around worldwith average donation about $15.We also receive donations through institutional grants gifts.The Wikimedia Foundationis United States501(c)(3) tax-exempt organizationwith offices San Francisco California USA. *As an equal opportunity employer*The Wikimedia Foundation values having diverse workforce continuously strives maintain inclusive equitable workplace.We encourage people diverse range backgrounds apply.We do not discriminate against any person based upon their race;traits historically associated race;religion;color;national origin;sex;pregnancy or related medical conditions;parental status;sexual orientation;gender identity;gender expression;age;status protected veteran;status individual disability;genetic information;or any other legally protected characteristics. The Wikimedia Foundationis remote-first organizationwith staff members including contractors based40+ countries*. Salaries at Wikimedia Foundation are set way competitive equitable consistent values culture. The anticipated annual pay range this position applicants based within United States US$106227 US$167858 with multiple individualized factors including cost living location being determinants offered pay. For applicants located outside US pay range adjusted country hire. We neither ask nor take consideration salary history applicants. Compensation successful applicant based skills experience location. *Please note we currently able hire following:* US States: Arizona California Colorado Connecticut District Columbia Florida Georgia Idaho Illinois Indiana Iowa Maryland Massachusetts Michigan Minnesota Missouri New Jersey New Mexico New York North Carolina Ohio Oklahoma Oregon Pennsylvania Puerto Rico Rhode Island Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming (US Territory Federal District) *Countries: Brazil Canada Colombia Germany Ghana India Indonesia Italy Kenya* Mexico Morocco Netherlands Poland Singapore* South Africa Spain Switzerland United Kingdom Our non-US employees hired through local third party Employer Record (EOR) must have current work authorization location (citizens/permanent residents only) We periodically review list streamline ensure alignment hiring requirements. All applicants can reach out recruiter understand more specific pay range location during interview process. If qualified applicant requiring assistance accommodation complete any step application process due disability contact recruiting@wikimedia.org or +1 (415)839-6885* More information U.S Benefits Perks Applicant Privacy Policy Wikimedia Foundation What does Wikimedia Foundation do? What makes Wikipedia different social media platforms? Our Projects Our Tech Stack News across Wikimedia movement Wikimedia Blog Wikimedia2030