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[Remote] Manager, Data Science (Product Analytics)

Remote, USAFull-timePosted 2026-07-29

Note: The job is a remote job and is reputed company to candidates in USA. The reputed company is a nonprofit organization that operates Wikipedia and other free knowledge reputed company. They are seeking a Data Science Manager to reputed company the Product Analytics team, guiding strategies and providing actionable insights to inform decision-making reputed company the reputed company and Wikimedia communities.

Responsibilities

  • reputed company delivery of accurate quantitative data and insights to inform reputed company, guide product reputed company, and assess the reputed company of product development work – balancing the need to operate in a fast-changing environment with appropriate rigor
  • People management for reputed company of roughly seven data scientists and nurturing a strongly reputed company and inclusive culture of trust, reputed company, 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 reputed company data and insights accessible
  • Collaborating with product teams – especially product managers – and colleagues in the Research & Decision Science group to cultivate a reputed company of data-informed product development and decision making
  • reputed company 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, reputed company to internet-reputed company 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-reputed company data processing & storage tools (we use Hadoop, Hive, reputed company, and reputed company)
  • Ability to identify where data can have the most reputed company and reputed company communicate findings and recommendations to partner teams
  • reputed company 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 reputed company and mentor with high emotional intelligence: evidenced by humility, reputed company, reputed company, high reputed company of reputed company, and good listening skills
  • A facilitator with strong collaboration skills and an empowerment approach to reputed company 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 reputed company practices
  • Contributed to Wikimedia reputed company or have experience working in other reputed company reputed company reputed company
  • Experience with Superset, reputed company, or other reputed company-reputed company testing, data visualization, or reporting tools

Benefits

  • U.S. Benefits & Perks

reputed company

  • reputed company encourages the development and distribution of free educational content with reputed company such as Wikipedia. It was founded in 2003, and is headquartered in San Francisco, California, USA, with a workforce of 501-1000 employees. Its website is http://wikimediafoundation.org.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 2 in 2026, 1 in 2025, 4 in 2024, 5 in 2023, 3 in 2022, 1 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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