Senior Data Scientist, Ecosystems
New
W
Wikimedia FoundationNon-profit, Technology
Please note that we are currently able to hire in the following: US States: Arizona, California, Colorado, Connecticut, District of 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 and Wyoming (*US Territory or Federal District). Countries: Brazil, Canada, Colombia, France, Germany, Ghana, India, Indonesia, Italy, Kenya*, Mexico, Morocco, Netherlands, Poland, Singapore*, South Africa, Spain, Switzerland and the United Kingdom.Full-TimeSenior
Salary106,227 - 167,858 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- A Bachelor’s degree + 5 years related experience or a Master’s degree + 3 years related experience; or equivalent work experience.
- Required Skills
- PythonSQLData AnalysisSEOData visualizationA/B testingBigQuery
Requirements
- 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.
- Solid, intuitive understanding of website operations and structure.
- Practical expertise in web search SEO/GEO.
- Statistical nuance required to design experiments and identify significant phenomena.
- Excellent communication skills.
- Bachelor’s degree + 5 years related experience or a Master’s degree + 3 years related experience; or equivalent.
- Familiarity with Wikimedia projects, moderation processes, and communities (preferred).
Responsibilities
- Integrate fragmented data from internal lake, BigQuery, Matomo, and external intelligence tools.
- Translate analytics and complex trends into actionable narratives for leadership.
- Develop automated systems to detect under-indexed or missing content.
- Establish metrics to track content utilization within LLMs and generative search engines.
- Collaborate with product leaders to define measurable outcomes and instrumentation requirements.
- Design and analyze experiments (A/B testing) to assess initiative efficacy.
- Interpret website performance data to inform UX/UI enhancements.
View Full Description & ApplyYou'll be redirected to the employer's site
