Data Science数据科学，是最近几年火爆的求职领域。根据Glassdoor的数据：2020年美国十佳工作中，Data Science领域占了2个席位。
不论是从薪水，还是工作满意度来说，Data Science绝对是一个令人羡慕的职业领域。
小编今天给大家整理了3大DS/DA/DE必问三大类型面试题，对Data Science感兴趣的同学，不妨继续往下看！
01
Technical Interview
通过这一类面试题，公司一般想查看面试者的基本编程能力如何。一般会考这几类编程语言的题：SQL或者Python/R。
举个例子:
👉Name the types of Indexes of which are available in SQL.
👉What is the difference between union and union all? where and having?
👉Dynamic programming problem: Now you have 5 types of coins(1,2,3,5,8) and a total sum(a big number, say 589). How many different combinations of coins can you find to reach this total sum?
Coding题目自然逃不过Leetcode，多刷题有利无害。划重点：在面online coding的轮次之前，千万记得去Glassdoor上看一看有没有过去的面试者分享过面试题，万一就遇到原题了呢～
02
Math/Stats Interview
现在可以把大学期间修的统计/数学课笔记拿出来复习啦，这类面试题考察的是面试者的理工背景如何。
常考的概念: Probability (Conditional Probabilities), Bayes Theorem, Hypothesis Testing, Law of Large numbers, Normal distribution等等。
举个例子：
👉（Facebook真题） There are 50 cards of 5 different colors. Each color has cards numbered between 1 to 10. You pick 2 cards at random. What is the probability that they are not of same color and also not of same number?
👉Now assuming you have an A/B testing result reflecting your test result is kind of negative (i.e, p-value ~= 20%). How will you communicate with the product manager?
概率题对大多数中国学生都没问题，Coursera上Introducation to Statistics and Probability课很不错，可以快速复习一些统计学基础知识点：https://click.linksynergy.com/deeplink?id=skg/Sko/Ybo&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fprobability-intro
03
Product Sense Interview
Product Sense是当下Data Science面试中最常见也是最难的一类题目。大多是围绕着metrics和如何提高product performance来展开的。说实话这些对于new grads来说非常不友好的因为没有工作经验。
小编推荐面试者从下面几个方向进行思考：
如何给用户创造价值？
如何给公司创造价值？
如何衡量用户价值&公司价值？
如何根据数据结果进行改进？
举个例子：
👉What new feature would you implement for Product X? If it were launched, how would you measure the feature’s success?
👉If after running an A/B testing you find the fact that the desired metric(i.e, Click Through Rate) is going up while another metric is decreasing(i.e., Clicks). How would you make a decision?
这里有个很方便的网站，Product School：https://www.productschool.com/。是各个湾区的tech公司的DS或PM大佬们来分享一些产品案例和学习经验。
希望大家都能够过关斩将，早日拿到心动的offer~
