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IBM Research Data Scientist Interview Questions and Answers

Updated 15 Oct 2021

IBM Research Data Scientist Interview Experiences

1 interview found

I applied via Recruitment Consultant and was interviewed in Sep 2021. There were 3 interview rounds.

Interview Questionnaire 

3 Questions

  • Q1. Have you ever proposed a project idea on your own before?
  • Q2. Can you briefly describe your project
  • Q3. What are the different types of algorithms used for classification?
  • Ans. 

    There are several algorithms used for classification, including decision trees, logistic regression, k-nearest neighbors, and support vector machines.

    • Decision trees: a tree-like model where each internal node represents a test on an attribute, each branch represents the outcome of the test, and each leaf node represents a class label

    • Logistic regression: a statistical method that uses a logistic function to model a bina...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - This was a technical round to test the understanding and ability of the candidate related to problem solving.
I answered the question as specifically as possible.
Best way to overcome is to answer what you know and understand in depth.

Skills evaluated in this interview

Interview questions from similar companies

Interview Questionnaire 

1 Question

  • Q1. What PCA, Decision tree and computer vision
  • Ans. 

    PCA is a dimensionality reduction technique, decision tree is a classification algorithm, and computer vision is a field of study focused on enabling computers to interpret and understand visual information.

    • PCA is used to reduce the number of variables in a dataset while retaining the most important information.

    • Decision trees are used to classify data based on a set of rules and conditions.

    • Computer vision involves usin...

  • Answered by AI

Skills evaluated in this interview

Interview Questionnaire 

1 Question

  • Q1. Please tell me something about yourself.What is your experience? What are your goals and ambitions?Why We should hire you? Strengths and weaknesses etc.

I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. What is data science
  • Ans. 

    Data science is the field of extracting insights and knowledge from data using various techniques and tools.

    • Data science involves collecting, cleaning, and analyzing data to extract insights.

    • It uses various techniques such as machine learning, statistical modeling, and data visualization.

    • Data science is used in various fields such as finance, healthcare, and marketing.

    • Examples of data science applications include fraud...

  • Answered by AI
  • Q2. What is phyton and R
  • Ans. 

    Python and R are programming languages commonly used in data science and statistical analysis.

    • Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.

    • R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.

    • Both languages are popular choices for data scientists and hav...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Provide the tips how to face the interview

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Aug 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

More of coding questions

Round 2 - Coding Test 

Hack rank coding, timed test, any language

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(3 Questions)

  • Q1. Questions around the previous work
  • Q2. Questions around how re-rank work, and image segmentation,
  • Q3. Questions with podman and docker

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare your profile and brush up your knowledge
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Project that I worked on
  • Ans. 

    Developed a predictive model for customer churn in a telecom company

    • Used machine learning algorithms like logistic regression and random forest

    • Analyzed customer data such as call duration, plan details, and customer complaints

    • Achieved 85% accuracy in predicting customer churn

  • Answered by AI
  • Q2. Use case only verbal communication
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Recruitment Consulltant and was interviewed in May 2023. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all Resume tips
Round 2 - One-on-one 

(3 Questions)

  • Q1. Machine Learning algorithms
  • Ans. 

    Machine Learning algorithms are used to train models on data to make predictions or decisions without being explicitly programmed.

    • Machine Learning algorithms can be categorized into supervised, unsupervised, and reinforcement learning.

    • Examples of supervised learning algorithms include linear regression, decision trees, and support vector machines.

    • Examples of unsupervised learning algorithms include k-means clustering, ...

  • Answered by AI
  • Q2. Overfitting and underfitting
  • Q3. Questions related to the project
Round 3 - Technical 

(2 Questions)

  • Q1. Questions on project, how much time required for training model
  • Q2. Version control, Flask/ Django, Cloud service experience

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. Basic ML Question, Timesereis and RNN with some questions on Comp Vision
Round 2 - One-on-one 

(1 Question)

  • Q1. Project driven. Some coding
Round 3 - HR 

(1 Question)

  • Q1. Salary Discussion
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Question regarding nlp,python,ml

Interview Preparation Tips

Interview preparation tips for other job seekers - good for begineers
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