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Careem Senior Data Scientist Interview Questions and Answers

Updated 6 Jan 2025

Interview questions from similar companies

Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Python programming,SQL question

Round 2 - One-on-one 

(2 Questions)

  • Q1. Asked some puzzle questions
  • Q2. Asked one leetcode easy question. 3 sum
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

DSA question, probability, statistical test

I applied via LinkedIn and was interviewed in May 2021. There were 4 interview rounds.

Interview Questionnaire 

6 Questions

  • Q1. Machine Learning questions, graphs were not asked
  • Q2. Deep Learning
  • Q3. Machine Learning
  • Q4. Core ML Principle, CV
  • Q5. MLP
  • Q6. Recommendation Systems

Interview Preparation Tips

What is your professional and academic background?At the time of the interview, I had 1 - 3 years of experience.ShareChat interview Rounds:Round 1
Round type - Coding
Round duration - 45mins
Round description -
Coding question were asked

Round 2
Round type - Machine Learning
Round duration - 45mins

Round 3
Round type - Technical
ShareChat interview Preparation:What resources did you refer to prepare for the interview? - As many books/resources on the internet because the topic is very vast. Do not refer to only one resource.What tips would you give to other job seekers? - Machine Learning matters a lot here, coding is very easy. You have to be well versed with ML. ML round of ShareChat was the most difficult round I have encountered.What was the final outcome of your interview?Selected
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Tell me about your projects?
  • Q2. How do you approach the project if you are using logistic regression model?
  • Ans. 

    Approach involves data preprocessing, model training, evaluation, and interpretation.

    • Perform data preprocessing such as handling missing values, encoding categorical variables, and scaling features.

    • Split the data into training and testing sets.

    • Train the logistic regression model on the training data.

    • Evaluate the model using metrics like accuracy, precision, recall, and F1 score.

    • Interpret the model coefficients to under...

  • Answered by AI
Round 2 - HR 

(2 Questions)

  • Q1. What are you future goals?
  • Q2. What would you do if your interested field doesnt have any work in the company?
  • Ans. 

    I would seek opportunities to apply my skills in related fields within the company.

    • Explore other departments or teams within the company that may have projects related to my field of interest

    • Offer to collaborate with colleagues in different departments to bring a new perspective to their projects

    • Seek out professional development opportunities to expand my skills and knowledge in related areas

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
Not Selected
Round 1 - Technical 

(2 Questions)

  • Q1. Basic Recommendation System Questions
  • Q2. A B Testing Questions
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Write a script to print a python for loop

Interview Preparation Tips

Interview preparation tips for other job seekers - learn well guys, nothing is easy.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Design a recommendation system
  • Ans. 

    Designing a recommendation system involves creating algorithms to suggest items to users based on their preferences and behavior.

    • Collect user data such as past purchases, ratings, and browsing history

    • Use collaborative filtering or content-based filtering techniques to make recommendations

    • Implement machine learning models like matrix factorization or neural networks for personalized recommendations

    • Evaluate the system's ...

  • Answered by AI
  • Q2. ML theoretical questions
Round 2 - One-on-one 

(2 Questions)

  • Q1. ML coding round
  • Q2. Project discussion

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Dec 2024. There was 1 interview round.

Round 1 - Coding Test 

Easy topics arrays, sequence sum.

I applied via LinkedIn and was interviewed in May 2021. There were 4 interview rounds.

Interview Questionnaire 

6 Questions

  • Q1. Machine Learning questions, graphs were not asked
  • Q2. Deep Learning
  • Q3. Machine Learning
  • Q4. Core ML Principle, CV
  • Q5. MLP
  • Q6. Recommendation Systems

Interview Preparation Tips

What is your professional and academic background?At the time of the interview, I had 1 - 3 years of experience.ShareChat interview Rounds:Round 1
Round type - Coding
Round duration - 45mins
Round description -
Coding question were asked

Round 2
Round type - Machine Learning
Round duration - 45mins

Round 3
Round type - Technical
ShareChat interview Preparation:What resources did you refer to prepare for the interview? - As many books/resources on the internet because the topic is very vast. Do not refer to only one resource.What tips would you give to other job seekers? - Machine Learning matters a lot here, coding is very easy. You have to be well versed with ML. ML round of ShareChat was the most difficult round I have encountered.What was the final outcome of your interview?Selected

Careem Interview FAQs

How many rounds are there in Careem Senior Data Scientist interview?
Careem interview process usually has 1 rounds. The most common rounds in the Careem interview process are Coding Test.

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Careem Senior Data Scientist Interview Process

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