Amazon Senior Data Scientist Interview Questions and Answers

Q1. Explain past projects
Add your answer

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%'.
Answered by AI
Add your answer

SQL - shared question on the screen and asked to code in SQL

Q1. Nth highes salary
Add your answer

Live SQL Coding and Product sense questions. You can practice SQL using Stratascratch or Hackerrank. For product sense, refer to dataandmetrics.com or interviewquery.

Stats, ML and product questions.

Q1. Past experience and product case.
Add your answer

Q1. SQL Window function- hard
Add your answer
Q2. Case study questions answers
Add your answer

Q1. What do you know about Uber?
Add your answer
Q2. Went over my current role
Add your answer

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
Answered by AI
Add your answer

Q1. Coding and data structure
Add your answer

Q1. ML Breadth and depth
Add your answer

Live SQL Coding and Product sense questions. You can practice SQL using Stratascratch or Hackerrank. For product sense, refer to dataandmetrics.com or interviewquery.

Stats, ML and product questions.

Q1. Past experience and product case.
Add your answer