Airbnb数据相关面经_Airbnb数据相关面试真题及高频题

1.Discussing A/B Testing

2.Talking Metrics: Exploring Bias in various Metrics.

3.1. Comparing SQL Functions: Group, Join, Order2. Understanding MAXPATHSUM Algorithm for Grids

4.Measuring Success of Customer Service Products: Key Metrics

5.Improving Representation's Platform: Data-Driven Directions and Recommendations.

6.Revamping Representation's Platform: Identifying Opportunities and Recommendations

7.Ramp Decision for 5% Drop in Ticket Per User

8.Understanding Normal Distributions in AB Testing

9.P-value and its Role in AB Testing.

10.The Alpha Value and Its Relationship to A/B Testing

11.US Booking and Listing Analysis with SQL

12.Measuring Progress, Investigating Tickets, and Global Launch

13. Self-introduction

14.Host engagement下降原因分析

15.提高satisfaction score

16.是否要launch一个可能对某个指标有损害的feature

17.How Many Flips?

18.Distinct Digit Numbers

19.Data Science Coding

20.Inference Technical Interview

21.Experimentation and Causal Inference Case

22.Effect Measurement without Control or Holdout

23.Experimentation Analysis

24.Keyword Highlighting in Text

25.Arithmetic Sequence RLE Decoder/Iterator

26.Arithmetic Sequence Run Length Encoding

27.Run Length Encoding

1. Discussing A/B Testing

聊了一下ab testing"

2. Talking Metrics: Exploring Bias in various Metrics.

聊metrics 然后问你这些metrics 有什么bias

3. 1. Comparing SQL Functions: Group, Join, Order2. Understanding MAXPATHSUM Algorithm for Grids

"1. What are the differences between SQL with group and join and order?

2. Explain the MAXPATHSUM algorithm for a grid with two specific starting points."

4. Measuring Success of Customer Service Products: Key Metrics

How do you measure the success of customer service product? First clarified whether it's a new feature released that needs to be measured or generally measure customer service product line. Then Igave some metrics.

5. Improving Representation's Platform: Data-Driven Directions and Recommendations.

How would you improve representation' s platform? List a few directions/areas that can be improved with data support (hypothetically). Asked the interviewer to pick one direction, then went deeper to explain how would I use data to identify opportunities,and what would the recommendation be.