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Amazon Decision Scientist Interview Questions and Answers
Amazon Decision Scientist Interview Experiences
1 interview found
ROSHIN JACOB JOHNSON me12b166
I applied via campus placement at Indian Institute of Technology (IIT), Chennai and was interviewed in Dec 2016. There were 6 interview rounds.
Interview Questionnaire
2 Questions
- Q1. Most challenging problem you have solved or tried solving
- Ans.
Developing a predictive model for customer churn in a telecom company
Gathering and cleaning large amounts of customer data
Identifying key predictors of churn through statistical analysis
Building and testing various machine learning models
Iteratively refining the model to improve accuracy
Presenting findings and recommendations to stakeholders
- Q2. Few simple puzzles and guestimates
Interview Preparation Tips
Experience: Quant questions and basic programming
Duration: 45 minutes
Total Questions: 28
Round: Case Study Interview
Experience: Simple question. Just keep on telling what comes to your mind.
College Name: IIT Madras
Interview questions from similar companies
Sarmili Mondal
I applied via LinkedIn and was interviewed in Sep 2024. There was 1 interview round.
(1 Question)
- Q1. Describe your project
- Ans.
Developed a predictive model to forecast customer churn for a telecom company
Collected and cleaned customer data including demographics, usage patterns, and customer service interactions
Used machine learning algorithms such as logistic regression and random forest to build the predictive model
Evaluated model performance using metrics like accuracy, precision, recall, and ROC curve
Provided actionable insights to the com
Anonymous
I applied via campus placement at Birla Institute of Technology and Science (BITS), Pilani and was interviewed in Dec 2023. There were 2 interview rounds.
The first round was a 45 min long aptitude and case study round which involved basic aptitude questions along with certain cases like "There has been a drop off in customers booking a hotel though the the total number of visits to the site has not dropped. How would you you design a system to analyze the problem and what kind of data will you collect." It was followed by a couple of HR questions
A mock data set of hotel bookings in different countries for last two years were given a week prior to the interview. We were to clean, prepare, derive insights and recommend actions. All of this needed to be documented as 15 page presentation. This presentation then needed to be presented in a 45 min meet.
Interview Preparation Tips
SQL - shared question on the screen and asked to code in SQL
(1 Question)
- Q1. Nth highes salary
I applied via LinkedIn and was interviewed before Jun 2023. There was 1 interview round.
SQL test on hackerrank
Interview Preparation Tips
Selected
I applied via Referral and was interviewed before Jan 2023. There were 5 interview rounds.
Generally 90 min coding test with 3 SQL questions
(1 Question)
- Q1. Advanced SQL - basic stats
(1 Question)
- Q1. SQL + Statistics
(1 Question)
- Q1. Python + SQL + Stats
(1 Question)
- Q1. Advanced Statistics
Interview Preparation Tips
1. Advanced SQL questions were asked - Window functions and CTEs
2. Advanced Statistics: XPs, Significance tests, everything about normal distribution etc.
Namitha Cherian
I applied via Referral and was interviewed before Oct 2023. There were 2 interview rounds.
(1 Question)
- Q1. Explain past projects
(1 Question)
- Q1. Explain resume points
- Ans.
Resume points are concise descriptions of your work experience, skills, and achievements listed on your resume.
Resume points should be clear, specific, and quantifiable.
Use action verbs to start each point, such as 'developed', 'implemented', 'analyzed'.
Include relevant metrics or results to demonstrate impact, such as 'increased sales by 20%' or 'reduced processing time by 30%'.
(2 Questions)
- Q1. SQL Window function- hard
- Q2. Case study questions answers
(2 Questions)
- Q1. What do you know about Uber?
- Q2. Went over my current role
I applied via LinkedIn and was interviewed in Sep 2024. There was 1 interview round.
(1 Question)
- Q1. Describe your project
- Ans.
Developed a predictive model to forecast customer churn for a telecom company
Collected and cleaned customer data including demographics, usage patterns, and customer service interactions
Used machine learning algorithms such as logistic regression and random forest to build the predictive model
Evaluated model performance using metrics like accuracy, precision, recall, and ROC curve
Provided actionable insights to the com
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