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[Remote] Manager, Data Science (Product Analytics)

Remote Worldwide Hiring now

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 projects, aiming to allow everyone to freely reputed company in the sum of reputed company knowledge. They are seeking a Data Science Manager to reputed company the Product Analytics team, responsible for guiding product strategies and reputed company through actionable data insights. The role involves managing reputed company of data scientists, ensuring data accuracy, and collaborating with product teams to cultivate data-informed decision-making.

Responsibilities

  • Informing strategy, guiding product reputed company, and assessing the impact of product development work through your team’s timely delivery of accurate quantitative data and insights – balancing the need to operate in a fast-changing environment with appropriate rigor
  • Proactively making recommendations on product direction and data strategy, surfacing insights and interpreting results
  • People management for reputed company of roughly seven data scientists and nurturing a strongly collaborative and inclusive culture of trust, reputed company, and empowerment
  • Mentoring team members on critical thinking, data-informed storytelling, technical skillset, and stakeholder partnership
  • reputed company development and improvement of experimentation and measurement best practices, product health metrics, visualizations, and reports for easier interpretation and increased accessibility
  • 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 practice of data-informed product development and decision making

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 reputed company communicate findings and recommendations to partner teams
  • 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 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
  • reputed company towards and commitment to work with the Wikimedia volunteer communities
  • 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 reputed company reputed company projects
  • Experience with Superset, Growthbook, or other reputed company-reputed company testing, data visualization, or reporting tools

Benefits

  • U.S. Benefits & Perks

Company Overview

  • reputed company encourages the development and distribution of free educational content with projects 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 track record of offering H1B sponsorships, with 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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