Uber数据相关面试真题

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计算机科学
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面试题
全部(122)
SQL(9)
Coding(15)
ML basics(4)
Stats(7)
Product Case(87)
高频题(1)
Other(0)
全部(122)
SQL(9)
Coding(15)
ML basics(4)
Stats(7)
Product Case(87)
高频题(1)
Other(0)
1.如何measure success
2.How to determine referral bonus
3.Identify shared accounts
4.Fake review
5.How to measure the impact
6.How to reduce drowsy driver
7.租车公司的定价问题
8.Type I和Type II error
9.客户投诉率的统计学分布
10.Bad quality data
11.North star metric to incent
12.Build a ML model to predict how long a pick-up order will take
13.Random number generator
14.How to get more driver to deliver on off peak hours
15.What to do before launch uber eats in a new city
16.Get riders
17.Measure success of batch delivery
18.Measure success of batch delivery
19.Transforming date type from int to float
20.Measure adding category of new business
21.monthly subscription pricing
22.Measure the new feature of adding green vehicle
23.Investigate the increase of average delivery time
24.Improve pick up experiences
25.Possible problems of driver picking up
26.Measure category on uber eats
27.Investigate the sudden decrease of total trips
28.Improve the performance of pick up and drop off experience
29.Measure pre-order on Uber eats
30.Hypothesis testing
31.Square root function
32.Pros and cons of Uber Pool
33.Factors of location recommendations
34.Tradeoff evaluation
35.Diagnose steps of metrics fluctuation
36.Network effect of two-sided market
37.Which store has higher delivery fees
38.Quantify the impact of project
39.Measure the success of Uber eats search bar
40.Measuring features of adding more time to match drivers for far distance
41.Investigate undersupply
42.Evaluate Uber rides marketplace health
43.Investigate reasons of increasing delivery time
44.Measure the success of instagram
45.Measure the supply and demand of Uber eats, and the reasons why number of drivers decreased
46.Investigate the reasons why ETA doubled last month
47.Measure the new feature to donate restaurant
48.Pros of adding carousel
49.Measure the ETA change
50.Restaurant ranking
51.Analyze bad experience of sending request to pick up
52.Shared Rides
53.Investigate reasons of decreasing adoption in some cities
54.Design push notification for driver app
55.Measure giving incentive to existing riders
56.Impact of changing ads word
57.Measure movement of browse tab
58. restaurants
59. drivers and trips
60.Ads display
61.Pros and cons of arrangement of category tab
62.Arrangement of category tab
63.How to improve the home page of Ride App
64.Ride feature during off hours
65.Overcharged rides
66.Display ranking
67.Prediction
68.LeetCode1249
69.LeetCode 1030
70.Distribution pdf
71.Newsvendor problem
72.异动分析
73.Data science algorithem question
74.异动分析
75.ML modeling
76.Measure uber feature success metrics
77.SQL functions
78.Data visualization
79.SQL window function
80.Uber product metrics
81.Search function,metrics
82.Uber product metrics, delivery fee
83.Uber product metrics,Uber在handle big events的时候表现不好
84.Uber product metrics
85.Uber product metrics
86.Uber product metrics, breakfast performance
87.Product case
88.Coding java
89.给个grids 有障碍物
90.AB test
91.Product ubereats 产品
92.SQL filtering
93.Case Study: Uber
94.SQL
95.AB testing
96.Python: get 2 largest numbers from an array
97.Product feature
98.How to optimize dispatch?
99.ETA algo
100.How to price incentives
101.两个coupon A/B test
102.机场algorithm
103.Predict the cost of a claim
104.设计推荐司机去哪的algorithm
105.A/B testing
106.Merge two sorted lists
107.Order zeros to the front
108.Square root计算器
109.Bigram
110.Hypothesis testing
111.A/B test
112.如何让你定价
113.Log and p-value
114.Product sense question
115.Experiment Design
116.外卖平台marketing campaign, referral program
117.Uber product metrics
118.Product case
119.Product ubereats 产品
120.Measure the value of a membership for a company
121.Implement a functionality using two different methods
122.Calculate the average promotion rate using SQL and pandas
1. 如何measure success
如何measure一个地区uber eats marketplace success
2. How to determine referral bonus
有一个的referral program bonus是奖10刀,奖了有一年了采集了一些数据,问如何设计实验知道下一年最好奖几刀。这里要分析一下life time value,思考一下奖五刀会发生什么,奖20刀又会发生什么
3. Identify shared accounts
how to identify shared accounts?(不仅需要说方法,还需要说如何用这些数据去得到结果)
4. Fake review
怎么分辨fake review
5. How to measure the impact
某个州要求发布job post的时候一定要写薪资,该怎么evaluate impact