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Manager, Data Science (Product Analytics)

wikimediafoundation.org Logo

Wikimedia Foundation

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

132439.00 - 192799.00 USD / Year
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Job Description:

The Wikimedia Foundation is looking for a Data Science Manager to lead the Product Analytics team, reporting to the Senior Director, Research and Decision Science. In this role, you will lead a team of data scientists whose insights guide strategies and tactics aimed at achieving our vision: a world in which every single human being can freely share in the sum of all knowledge. Your team partners with product managers, designers, engineers, and colleagues across the Wikimedia movement to produce and share actionable and accessible data and insights to inform decision-making within the Foundation and in Wikimedia communities.

Job Responsibility:

  • Timely delivery of accurate quantitative data and insights to inform strategy, guide product decisions, and assess the impact of product development work
  • People management for a team of roughly seven data scientists and nurturing a strongly collaborative and inclusive culture
  • Mentoring team members on critical thinking, data-informed storytelling, technical skillset, and stakeholder partnership
  • Partnering with the Experiment Platform & Data Engineering teams to build and maintain data products
  • Collaborating with product teams and colleagues to cultivate a practice of data-informed product development and decision making
  • Continuous development and improvement of experimentation and measurement best practices, product health metrics, visualizations, and reports

Requirements:

  • Deep experience with experimental design and statistics, applied to internet-scale audience or user experience data
  • Experience collaborating with product development teams in a fast-paced environment to test, analyze, and evaluate user-facing features
  • Prior experience as a people manager
  • Demonstrated commitment to equity, inclusion, and diversity
  • Experience with large-scale data processing & storage tools (we use Hadoop, Hive, Presto, and Spark)
  • Candidates must be located within the UTC+1 to UTC-8 time zones, available for critical meetings and synchronous work between 14:00 and 22:00 UTC, and able to travel for offsites and conferences (up to 4 times per year)

Nice to have:

  • Exposure to, and interest in, ethical data management and privacy practices
  • Contributed to Wikimedia projects or have experience working in other open source projects
  • Experience with Superset, Growthbook, or other open-source testing, data visualization, or reporting tools

Additional Information:

Job Posted:
March 01, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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