Wikimedia FoundationRemote
Manager, Data Science (Product Analytics)
United States
Full-time
5 days ago
$132,000 - $193,000 USD
H1B Sponsor Likely
Key skills
Experimental designStatisticsData processing toolsPeople managementData-informed storytellingCuriosityEmpathyCollaboration skillsCritical thinkingEmotional intelligenceData EngineeringAnalyticsSparkHadoopMentoringDecision MakingCritical Thinking
About this role
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 manage a team of data scientists to provide insights that inform product development strategies and decisions within the Foundation.
Responsibilities:
- Timely delivery of accurate quantitative data and insights to inform strategy, guide product decisions, and assess the impact of product development work – balancing the need to operate in a fast-changing environment with appropriate rigor
- People management for a team of roughly seven data scientists and nurturing a strongly collaborative and inclusive culture of trust, excellence, and empowerment
- 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 that make data and insights accessible
- Collaborating 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
- Continuous development and improvement of experimentation and measurement best practices, product health metrics, visualizations, and reports for easier interpretation and increased accessibility
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)
- 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