Manager, Data Science (Product Analytics)
Job Description
REQUIREMENTS
- Deep experience with experimental design and statistics applied to large-scale user data
- Experience collaborating with product development teams in fast-paced environments
- Prior experience in people management
- Proficiency with large-scale data processing tools such as Hadoop, Hive, Presto, or Spark
- Demonstrated commitment to equity, inclusion, and diversity
- Ability to work within UTC+1 to UTC-8 time zones and available for synchronous work between 14:00 and 22:00 UTC
Preferred
- Interest in ethical data management and privacy practices
- Experience with Superset, Growthbook, or other open-source data visualization tools
- Contributions to Wikimedia projects or other open-source initiatives
RESPONSIBILITIES
- Lead a team of approximately seven data scientists to provide actionable insights for product strategy and tactics
- Inform product decisions and assess the impact of development work through accurate quantitative data
- Manage and mentor team members in critical thinking, technical skills, and stakeholder partnership
- Improve experimentation, measurement best practices, and product health metrics
- Partner with Experiment Platform and Data Engineering teams to build accessible data products
- Collaborate with product managers and researchers to cultivate data-informed decision making
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