求分享40题Data Science Product Questions 答案

Data Science Product Questions 40题如下
听说这些问题研究透对面试很有用
答案好像是买data science package才能看到 https://datamasked.com/wp-content/uploads/DSProductQuestions.html
请问有没有小伙伴能分享一下答案！比如链接，或者留言，我可以私信你联系方式
感谢！

求分享 求加米

40 Data Science Product Questions List:

1) How would you improve engagement on FB?


2) We are launching a new driver app with a better UI. The goal is increasing driver earnings by increasing their number of trips. Outline a testing strategy to see if the new app is better than the old one


3) Give an example of a case in which you run an A/B test, test wins with significant p-value, but you still choose to not make the change


4) Do you expect that Uber trips without rider review have been better, worse, or same as trips with reviews?


5) A given category of an e-commerce marketplace, for instance jeans, is not doing well. How would you estimate if it is a demand or supply problem?


6) What are the drawbacks of using supervised machine learning to predict frauds?


7) If 70% of Facebook users on iOS use Instagram, but only 35% of Facebook users on Android use Instagram, how would you investigate the discrepancy?


8) We made a change to our subscription offering adding new features. We expect this to increase subscription retention. How can we test if the change is successful?


9) Do you think it is better to target ads based on user demographic or behavioral characteristics (past browsing experience)? Why?


10) We ran an A/B test. Test won, so we make the change on the site for all users. But after waiting for some time, we realize that the new version of the site is not performing better than the old one. What could be the reason?


11) You are launching a messaging app. Define 2 metrics that you'd choose to monitor app performance during the first months. Why you chose them?


12) Which feature would you add to WhatsApp? Hypothetically, imagine you have access to all WhatsApp-related data, such as messages and where people click on the app


13) You have to predict conversion rate on Airbnb using user country as one of the input variables. How would you deal with the missing values in "country"?


14) How to estimate the value of a user coming to your e-commerce store when they land on your home-page for the first time?


15) How can we tell if two users on Facebook are best friends?


16) Which variables are important to predict a fake listing on eBay?


17) Explain the drawbacks of running an A/B test by market (i.e. all people in one market get version A of the site and another market version B)


18) How would you measure the performance of the customer service department?


19) FB - Should we add a love button?


20) How would you use data to evaluate if it makes sense to implement two-step authentication when users log in?


21) At Facebook we use as a metric number of likes per user per week. And, each week, we check it year over year to control for seasonality. This week the metric is dramatically down. How would you find out the reason? Logging is fine as well as the query we used to get the data


22) We are running 30 tests at the same time, trying different versions of our home page. In only one case test wins against old home page. P-value is 0.04. Would you make the change?


23) Each user on our site can be described by 100 continuous variables. What's the probability that a user is an outlier on at least one variable? What are the implications of this from a product standpoint?


24) LinkedIn has tested a new UI with the goal to increase the number of likes per user. They test it by giving the new UI to a random subset of users. Test wins by 5% on the target metric. What do you expect to happen after the new UI is applied to all users? Will that metric actually go up by ~5%, more, or less? Assume there is no novelty effect here


25) Describe one example of a classification problem where the cost of a false positive is way higher than false negative as well as the other way round


26) How to calculate for how long I should run an A/B test?


27) Suddenly, our dashboard shows that the number of picture uploads per day by Internet Explorer users went to zero. What could be the reason?


28) LinkedIn has launched its first version of the People You May Know Feature. How would you isolate the impact of the algorithm behind it w/o considering the UI change effect?


29) How would you find out if someone put a fake school on LinkedIn? I.e. they actually didn't attend it


30) You are supposed to run an A/B test for 3 weeks based on sample size calculation. But after 1 week, p-value is already significant with test winning. So your product manager pressures you to stop the test and declare it a winner. What would you tell her? Explain in layman's terms


31) What are the issues with splitting a small dataset (<1K events) in training/test set? What would you do then?


32) Using LinkedIn data, how would you predict when someone is going to change job? Assume you can use all LinkedIn user activity data


33) Between the following two metrics, which one would you choose to measure response time of an inquiry at Airbnb: percentage of responses within 16 hrs or average response time considering only responses within 16 hrs?


34) At FB, we found out that users with filled out profile infos (age, hometown, etc.) are more engaged than those without. Therefore, we figure out a way to fill out those infos automatically for all users hoping it would improve engagement. However, engagement barely changes. Why?


35) You ran an A/B test last year and it lost. When would it make sense to re-run the same test today?


36) How would you identify if an advertiser is using clickbait techniques without having a dataset with labeled events?


37) What are the most important parameters in a Random Forest?


38) In on-line gaming companies, do you expect the average revenue per user to be larger or smaller than the median revenue per user?


39) How would you increase revenue from advertising clicks if you were working for an ads company (i.e. Google, FB, etc.)?


. 40) Give an example of a site change that we can't test on a subset of users via a controlled experiment. How would you estimate the impact of that change?



补充内容 (2020-11-19 13:05):
有答案的小伙伴 可以直接发我邮箱 sakuraalltheway at gmail dot com
再次感谢！

补充内容 (2021-1-13 12:35):
这两天突然好多人邮件我，请愿意低价有偿分享的再联系吧，不然太多人了。。。或者愿意分享leetcode账号的话可以资源互换呀 邮箱是sakuraalltheway at Gmail dot com

补充内容 (2021-1-23 14:22):
保护作者版权就不分享了，可以去官方网站买材料，网站在这里：https://datamasked.com/

不求了 买到了全套书和答案了 有需要的小伙伴可以私信我或者邮件我 sakuraalltheway at Gmail dot com

睡不着的喵 发表于 2020-12-5 03:00
不求了 买到了全套书和答案了 有需要的小伙伴可以私信我或者邮件我 sakuraalltheway at Gmail dot com

你好楼主 可以发我一份吗 十分感谢！已经给你发邮件了
已加米

这两天突然好多人邮件我，请愿意有偿分享的再联系吧，不然太多人了。。。或者愿意分享leetcode账号也可以 邮箱是sakuraalltheway at Gmail dot com

给楼主加迷，mark一下！同想找答案

赞楼主，加油💪

我来蹲一蹲

https://www.1point3acres.com/bbs/thread-656704-1-1.html, 这有低成本有偿分享～

harryiori 发表于 2020-11-19 15:13:02
https://www.1point3acres.com/bbs/thread-656704-1-1.html, 这有低成本有偿分享～

私信您了，求看下

已经给楼主发邮件啦

顶一个555！等我能加米了回来给楼主加米，谢谢！

WEIMT 发表于 2020-12-09 05:46:11
顶一个555！等我能加米了回来给楼主加米，谢谢！

不客气哦 谢谢你呀！