About this role
About the Role Wikipedia is a trusted source of knowledge the world over, read by over a billion people a month in over 300 languages. It’s offered for free and operated independently by the non-profit Wikimedia Foundation. 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. You will work with product managers, designers, engineers, and colleagues across the Wikimedia movement to produce and share actionable data and insights to inform decision-making within the Foundation and in Wikimedia communities. You will ensure timely delivery, data accuracy, and consistent reporting by creating shared data processes and procedures, and you will support the design of data products and tools that make critical data more accessible to stakeholders and decision makers. This role sits at a pivotal time for Wikipedia as AI changes how people access knowledge and presents new risks and opportunities in online platforms and communities.
What You'll Do
- Inform strategy, guide product decisions, and assess the impact of product development work through your team’s timely delivery of accurate quantitative data and insights.
- Proactively make recommendations on product direction and data strategy, surfacing insights and interpreting results.
- Manage a team of roughly seven data scientists and nurture a collaborative, inclusive culture of trust, excellence, and empowerment.
- Mentor team members on critical thinking, data-informed storytelling, technical skillset, and stakeholder partnership.
- Continuously develop experimentation and measurement best practices, product health metrics, visualizations, and reports for easier interpretation and increased accessibility.
- Partner with the Experiment Platform & Data Engineering teams to build and maintain data products that make data and insights accessible.
- Collaborate with product teams—especially product managers—and colleagues in the Research & Decision Science group to cultivate a practice of data-informed product development and decision making.
What We're Looking For
- 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 (Hadoop, Hive, Presto, and Spark).
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.
Compensation & Benefits
- Salary and compensation details are not disclosed in this posting. The Wikimedia Foundation operates as a charitable, nonprofit organization relying on donations.