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Clarivate Data Scientist Interview Questions and Answers

Updated 23 Oct 2024

Clarivate Data Scientist Interview Experiences

2 interviews found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Oct 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Graph based question, acyclic graph

Round 2 - Technical 

(4 Questions)

  • Q1. Probability question
  • Q2. ML design interview
  • Q3. Algorithm coding
  • Q4. NLP based design question

I applied via Approached by Company and was interviewed in Feb 2022. There were 2 interview rounds.

Round 1 - HR 

(5 Questions)

  • Q1. What are your salary expectations?
  • Q2. What is your family background?
  • Q3. Where do you see yourself in 5 years?
  • Q4. What are your strengths and weaknesses?
  • Q5. Tell me about yourself.
Round 2 - Assignment 

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare for the Critical Behavioral Questions

Data Scientist Interview Questions Asked at Other Companies

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asked in Affine
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Q5. coding question of finding index of 2 nos. having total equal to ... read more

Interview questions from similar companies

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.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Referral and was interviewed before May 2023. There were 4 interview rounds.

Round 1 - Aptitude Test 

180 mins of online test with camera ON. Major topics include Excel, Aptitude, Python, Statistics and Case Study

Round 2 - Technical 

(2 Questions)

  • Q1. Explain Apriori Method
  • Ans. 

    Apriori method is a popular algorithm for frequent itemset mining in data mining.

    • Used for finding frequent itemsets in transactional databases

    • Based on the concept of association rule mining

    • Involves generating candidate itemsets and pruning based on support threshold

    • Example: If {milk, bread} is a frequent itemset, then {milk} and {bread} are also frequent

  • Answered by AI
  • Q2. Explain train-test in Scikit learn
  • Ans. 

    Train-test split is a method used to divide a dataset into training and testing sets for model evaluation in Scikit learn.

    • Split the dataset into two subsets: training set and testing set

    • Training set is used to train the model, while testing set is used to evaluate the model's performance

    • Common split ratios are 70-30 or 80-20 for training and testing sets

    • Example: X_train, X_test, y_train, y_test = train_test_split(X, y,

  • Answered by AI
Round 3 - One-on-one 

(2 Questions)

  • Q1. Explain about projects in current company
  • Q2. Why do you want to move to an individual contributor role from a managerial position
Round 4 - One-on-one 

(2 Questions)

  • Q1. Why do you want to join Wolters Kluwer?
  • Q2. Discussion around analytics and managerment reporting deliverables in current org.

Interview Preparation Tips

Topics to prepare for Wolters Kluwer Data Scientist interview:
  • Advanced Excel
  • Python
  • Power Bi
  • Pivot Table
Interview preparation tips for other job seekers - You must be an advanced Excel user and decent knowledge of Python.

Skills evaluated in this interview

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

(1 Question)

  • Q1. Tell me about your self

Interview Questionnaire 

2 Questions

  • Q1. Three skills required to be a good data scientist?
  • Q2. Answer: Curious , Extremely argumentative and judgemental

I applied via Naukri.com and was interviewed in May 2022. 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 - Technical 

(1 Question)

  • Q1. Normal Data Science questions
Round 3 - HR 

(1 Question)

  • Q1. Salary discussion and HR related queries

Interview Preparation Tips

Interview preparation tips for other job seekers - Technical must be sound. Candidate must brush up technicals thoroughly. They may ask you for coding as well.

I applied via Approached by Company and was interviewed before Sep 2021. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all Resume tips
Round 2 - Aptitude Test 

Explain dynamic programming with memoization

Round 3 - HR 

(2 Questions)

  • Q1. Where are you from, and why are you joining the company
  • Q2. Why are you joining the company

Interview Preparation Tips

Interview preparation tips for other job seekers - First, they will ask about the breadth of your ML skills and the depth going forward
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Campus Placement and was interviewed in Oct 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Ask 4 programming question 1)prime in range ,2)Matrix multiplication,3)Spiral Matrix 4)separte vowels from string

Interview Preparation Tips

Topics to prepare for Amazon Data Scientist interview:
  • Java
  • SQL
Interview preparation tips for other job seekers - Please be perfect with your resume
Interview experience
2
Poor
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Job Portal and was interviewed in Dec 2022. There were 2 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 - Technical 

(2 Questions)

  • Q1. Explain difference between Faster-RCNN and Yolo v3.
  • Ans. 

    Faster-RCNN and Yolo v3 are both object detection algorithms, but differ in their approach and performance.

    • Faster-RCNN uses a two-stage approach, first generating region proposals and then classifying them.

    • Yolo v3 uses a single-stage approach, directly predicting bounding boxes and class probabilities.

    • Faster-RCNN is generally more accurate but slower, while Yolo v3 is faster but less accurate.

    • Faster-RCNN is better suit...

  • Answered by AI
  • Q2. How RNN handles exploding/vanishing Gradient?
  • Ans. 

    RNN uses techniques like gradient clipping, weight initialization, and LSTM/GRU cells to handle exploding/vanishing gradients.

    • Gradient clipping limits the magnitude of gradients during backpropagation.

    • Weight initialization techniques like Xavier initialization help in preventing vanishing gradients.

    • LSTM/GRU cells have gating mechanisms that allow the network to selectively remember or forget information.

    • Batch normaliza...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - 1.They will generally ask you Project related question. Read everything you have written in the resume.
2. Will ask you about any Papers which you have published or studied.

Skills evaluated in this interview

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Clarivate Interview FAQs

How many rounds are there in Clarivate Data Scientist interview?
Clarivate interview process usually has 2 rounds. The most common rounds in the Clarivate interview process are HR, Assignment and Coding Test.
How to prepare for Clarivate Data Scientist interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Clarivate. The most common topics and skills that interviewers at Clarivate expect are Analytical, Data Analysis, Python, Automation and Business Intelligence.
What are the top questions asked in Clarivate Data Scientist interview?

Some of the top questions asked at the Clarivate Data Scientist interview -

  1. NLP based design quest...read more
  2. Probability quest...read more
  3. ML design interv...read more

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Clarivate Data Scientist Interview Process

based on 1 interview

Interview experience

4
  
Good
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Clarivate Data Scientist Salary
based on 12 salaries
₹7.2 L/yr - ₹25 L/yr
24% more than the average Data Scientist Salary in India
View more details

Clarivate Data Scientist Reviews and Ratings

based on 3 reviews

2.2/5

Rating in categories

3.4

Skill development

2.9

Work-life balance

3.4

Salary

1.4

Job security

1.4

Company culture

1.4

Promotions

1.4

Work satisfaction

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