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Building a data team

Eugene Yan's articles discuss the critical aspects of building and managing successful data science teams, emphasizing the importance of hiring individuals with curiosity, grit, and humility. He advocates for a culture that encourages innovation and learning from failure, drawing parallels with successful tech companies like Netflix and Google. Yan also highlights the need for clear communication and ownership within teams, as demonstrated by his experience at Lazada, and stresses that fostering an environment where experimentation is encouraged is key to driving impactful data science work. AI

排序理由 The cluster consists of blog posts and a podcast discussing best practices for building and managing data science teams, offering opinions and experiences rather than announcing new products or research.

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AI 生成摘要 · Google Gemini · 来自 5 个来源。 我们如何撰写摘要 →

Building a data team

报道来源 [5]

  1. Eugene Yan TIER_1 English(EN) ·

    Growing and Running Your Data Science Team

    What I learned about hiring and training, and fostering innovation, discipline, and camaraderie.

  2. Eugene Yan TIER_1 English(EN) ·

    CareerFair - Day-to-day as an Applied Scientist at Amazon

    What's an average day like? What's great about the role? How's working in Amazon?

  3. Eugene Yan TIER_1 English(EN) ·

    Building a Strong Data Science Team Culture

    Culture >> Hierarchy, Process, Bureaucracy.

  4. Eugene Yan TIER_1 English(EN) ·

    One way to help a data science team innovate successfully

    If things are not failing, you're not innovating enough. - Elon Musk

  5. Practical AI TIER_1 English(EN) · Practical AI LLC ·

    Building a data team

    <p>Inspired by a recent article from Erik Bernhardsson titled “<a href="https://erikbern.com/2021/07/07/the-data-team-a-short-story.html">Building a data team at a mid-stage startup: a short story</a>”, Chris and Daniel discuss all things AI/data team building. They share some st…