Adobe DS 2022 Summer Intern 面经

avatar 650024
grass1027
2015
5
First round with Hiring Manager (30mins)一半self-introduction + previous experience一半 product-related
因为我面的组是Spark
就围绕这个产品问了
1. 使用之后有哪些可以改进的想法
2. 有哪些metrics
3. What are the potential pitfalls for using ML to predict conversion-to-premium rate?
4. 还问了简单的stats questions (p-value); how to make decisions in A/B testing

Second round: Data science fundamentals and experimentation(45 mins)
围绕产品给了很多scenarios 每一个case问解题的思路和一些technical details follow up 面试官也说没有绝对的对错 更看重problem-solving
- Hypothesis testing
- A/B testing
- ML (such as how to do user segmentation and how to predict the next action for customers for better recommendation)
问的比较快最后还剩15分钟 做了几道sql 只用讲pseudo code

Third round (45 mins)
本来这轮应该是sql但是由于上一轮已经问过了 所以就是比较轻松的聊天 聊了下past projects, experience with big data and Hadoop会哪些programming language和visualization tools 这个组比较常用Tableau 问了我对工作内容的期望以及接下来研究生准备上哪些课

总的来说 面试体验非常好 比较像聊天比较chill个人非常喜欢

最后 求大米!!感谢!!
  • 13
5条回复