Senior Data Scientist - Ecosystems
New
The Wikimedia Foundation is a remote-first organization. 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. Countries: Brazil, Canada, Colombia, 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
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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
- PythonSQLSparkSEOA/B testing
Requirements
- Bachelor’s degree with 5 years of related experience, or a Master’s degree with 3 years of related experience, or equivalent work experience.
- Fluent in Python and Jupyter for data analysis, statistical modeling, simulation, visualization, and reporting.
- Fluent in SQL and experienced with large-scale data tools such as Hive, Presto, Druid, and Spark.
- Experience building dashboards and reports using tools like Jupyter, Quarto, and Superset.
- Solid understanding of website structure, user journeys, and tracking mechanisms.
- Practical expertise in web search SEO/GEO.
- Strong ability to design experiments, identify statistically significant phenomena, and frame findings into high-level narratives.
- Excellent communication skills.
- Comfortable working in a highly collaborative, remote environment.
Responsibilities
- Integrate fragmented data from internal data lakes, BigQuery, Matomo, and external intelligence tools to create a unified view of user content discovery.
- Translate analytics and complex trends by geography, project, and topic into actionable narratives for leadership.
- Develop automated systems to detect under-indexed or missing content in search results.
- Establish metrics and frameworks to track content utilization within Large Language Models and generative search engines.
- Collaborate with product leaders to define measurable outcomes and instrumentation requirements.
- Design and analyze experiments such as A/B testing to assess the efficacy of new initiatives.
- Interpret website performance data to support UX/UI enhancements and customer experience strategies.
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