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Epsilon Data Scientist Interview Questions and Answers

Updated 14 Sep 2024

Epsilon Data Scientist Interview Experiences

1 interview found

Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Recruitment Consulltant and was interviewed in Mar 2024. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Hyper parameter tuning
Round 2 - HR 

(1 Question)

  • Q1. Why join epsilon?
  • Ans. 

    Epsilon offers cutting-edge technology, diverse projects, and a collaborative work environment.

    • Epsilon provides opportunities to work with advanced technology and tools in data science.

    • The company offers a wide range of projects across various industries, allowing for diverse and challenging work.

    • Epsilon fosters a collaborative work environment, encouraging teamwork and knowledge sharing among data scientists.

    • The compa...

  • Answered by AI
Round 3 - Technical 

(1 Question)

  • Q1. Projects and technical background

Interview Preparation Tips

Interview preparation tips for other job seekers - First round was technical and business related question. Second round was HR. They ask reason for change, salary expectation. Third round was with VP. After third round i followed up twice. Never heard back.

Interview questions from similar companies

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Explain any ML model.
  • Q2. Create Dataframe from two lists.

Interview Preparation Tips

Topics to prepare for Nielsen Data Scientist interview:
  • Python
  • pandas
  • ML
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-

I applied via Naukri.com and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Pandas basics and SQL joins nlp

Interview Preparation Tips

Interview preparation tips for other job seekers - It was good
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Questions on MLP, ML
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed in May 2024. There were 3 interview rounds.

Round 1 - Coding Test 

I was asked to write SQL queries for 3rd highest salary of the employee, some name filtering, group by tasks.
Python code to find the index of the maximum number without using numpy.

Round 2 - One-on-one 

(1 Question)

  • Q1. Explain the Project undertaken during the research and follow-up questions
Round 3 - Technical 

(1 Question)

  • Q1. Write pandas query to separate the names as first and last name from the full name. Drop the duplicate columns and also the missing values. Write output for the Python code. Write SQL query to retrieve t...
  • Ans. 

    Answering questions related to data science concepts and techniques.

    • Recall is the ratio of correctly predicted positive observations to the total actual positives. Precision is the ratio of correctly predicted positive observations to the total predicted positives.

    • To reduce variance in an ensemble model, techniques like bagging, boosting, and stacking can be used. Bagging involves training multiple models on different ...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Nielsen Data Scientist interview:
  • Python
  • Pandas
  • SQL
  • Machine Learning
Interview preparation tips for other job seekers - Have your basics strong.

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Regularization ,when to select l1 and l2
  • Ans. 

    L1 regularization is used for feature selection and L2 regularization is used for preventing overfitting.

    • Use L1 regularization when you want to perform feature selection as it tends to produce sparse feature vectors.

    • Use L2 regularization when you want to prevent overfitting by penalizing large weights.

    • A combination of L1 and L2 regularization (Elastic Net) can be used for a balance between feature selection and prevent

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Questions on MLP, ML
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Oct 2023. There were 4 interview rounds.

Round 1 - Coding Test 

Sql, python, Statistics mcq, Aptitude test. These were medium level questions.

Round 2 - Technical 

(3 Questions)

  • Q1. SQL and python, time complexity
  • Q2. Make 2 lists a=[1,2,3,4] b=[9,8,5,5,2,3,3,4,1,1,10,9,2,3,4,10,10,9,7,7,8] Write a program to remove duplicate of b and keep only those elements of b which are not present in a, and the final list should ...
  • Ans. 

    Remove duplicates from list b, keep elements not in list a, and sort in ascending order.

    • Create a set from list b to remove duplicates

    • Use list comprehension to keep elements not in list a

    • Sort the final list in ascending order

  • Answered by AI
  • Q3. SQL question Remove duplicate from a table tab1
  • Ans. 

    Use the DISTINCT keyword in SQL to remove duplicates from a table.

    • Use the SELECT DISTINCT statement to retrieve unique rows from the table.

    • Identify the columns that should be used to determine uniqueness.

    • Example: SELECT DISTINCT column1, column2 FROM tab1;

  • Answered by AI
Round 3 - Case Study 

Given 2 case studies on data science and asked different possibilities to improve the models.

How to work with imbalance dataset.
How to remove null values, what is features engineering.
What is PCA
What is the working of XGBOOST

Round 4 - Project discussion 

(1 Question)

  • Q1. What was last project, tell me in detail. There were different technical questions related to my project

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident and practice SQL, python, mainly pandas and numpy. Should have good knowledge on time complexity.


All the metrics of evaluating a model.
Linear regression, logestic regression, random forest, decission tree, adaboost, Gradient boosting, XGb in detail.

Recall, precision roc_curve. Auc, f1 score, mse,mae, r2, adjusted r2 score.

Is it possible that r2 score appears in minus

Skills evaluated in this interview

Interview Questionnaire 

1 Question

  • Q1. First Round: Basic Statistics, Basic Python Programming, Past Projects. Second Round: Past Projects, Questions from computer vision, NLP, SQL, Basic Python.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Mar 2024. There were 4 interview rounds.

Round 1 - Aptitude Test 

Test consisted 7 sections which lasted for more than a hour. There were questions related to coding , sql , analytical questions etc.

Round 2 - Coding Test 

1 python coding questions and 2 Sql question

Round 3 - Case Study 

2 case study question

Round 4 - HR 

(1 Question)

  • Q1. This was the final round . Technical+HR .

Interview Preparation Tips

Interview preparation tips for other job seekers - All the best. Interview process is too long , have patience. And be prepared , questions will be basic.

Epsilon Interview FAQs

How many rounds are there in Epsilon Data Scientist interview?
Epsilon interview process usually has 3 rounds. The most common rounds in the Epsilon interview process are Technical and HR.
How to prepare for Epsilon 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 Epsilon. The most common topics and skills that interviewers at Epsilon expect are Data Analytics, Data Modeling, Project Management, Python and R.

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Epsilon Data Scientist Interview Process

based on 1 interview

Interview experience

2
  
Poor
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Epsilon Data Scientist Salary
based on 16 salaries
₹9.2 L/yr - ₹20 L/yr
At par with the average Data Scientist Salary in India
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Epsilon Data Scientist Reviews and Ratings

based on 3 reviews

4.5/5

Rating in categories

4.4

Skill development

4.8

Work-life balance

4.2

Salary

4.6

Job security

5.0

Company culture

3.5

Promotions

4.4

Work satisfaction

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