Daily Productive Sharing 414 - How to Recruit a Data Science Head?
One helpful tip per day:)
(下附中文版)
Will Larson shared their experience in hiring a Data Science Lead last year, the most important point being that they identified three core beliefs prior to the interview, which were then used as the initial screening criteria.
- Do they view the role of analyst as a peer role to data scientists? We wanted someone who viewed analysts are a peer role with a different skill set, not as a secondary or unnecessary role
- Is the ideal data science staffing model embedded, centralized, or a hybrid? We wanted someone who was open to all these staffing models but had a strong perspective on why a given model would work for a given situation
- Should data engineering be in the same organization as data science? We wanted someone who was “data science first” rather than a more generalized leader who stretched their attention over both fields
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Will Larson 分享了他们去年招聘数据科学主管的经历，其中最重要的一点是他们在面试前确定了三条最基本的价值观，然后以此作为初筛的条件：
- ta 是否将分析师的角色视为数据科学家的同行角色 - 我们希望 ta 将分析师视为具有不同技能的同行角色，而不是一个次要角色；
- 理想的数据科学人员配置模式是嵌入式的、集中式的还是混合式的 - 我们希望有人能对所有这些人员配置模式持开放态度，但可以针对具体场景作出调整；
- 数据工程应该和数据科学在同一个组织中吗？ - 我们想要的是 "首先是数据科学 "的人，而不是将注意力延伸到两个领域的通用型领导。
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