Note: The job is a remote job and is open to candidates in USA. The Wikimedia Foundation is looking for a Data Science Manager to lead the Product Analytics team. In this role, you will manage a team of data scientists to provide actionable insights that inform product strategies and decisions.
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
Skills
- 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)
- Ability to identify where data can have the most impact and clearly communicate findings and recommendations to partner teams
- Empathy towards and commitment to work with the Wikimedia affiliates and volunteer communities
- Discretion and competence in handling sensitive or confidential data
- Curiosity and critical thinking skills; a lifelong learner who sees situations through multiple lenses
- A coach and mentor with high emotional intelligence: evidenced by humility, tact, compassion, high levels of integrity, and good listening skills
- A facilitator with strong collaboration skills and an empowerment approach to open and transparent management
- Commitment to the mission of the organization and our values and guiding principles
- Self-motivated with an ability to navigate through ambiguity and complexity
- 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
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