Upload Button Icon Add office photos

Nielsen

Compare button icon Compare button icon Compare

Filter interviews by

Nielsen Executive Data Scientist Interview Questions and Answers

Updated 17 Feb 2021

Nielsen Executive Data Scientist Interview Experiences

1 interview found

I applied via Naukri.com and was interviewed in Jan 2021. There were 3 interview rounds.

Interview Questionnaire 

3 Questions

  • Q1. 1st round was an online test, which was pretty forward, thereafter I went onto a technical interview with Director & Lead Data Scientist where they asked very few basic questions.
  • Q2. The interview was really basic and any fresher can achieve iff they want you to get in!
  • Q3. Questions were asked on the topics like SQL, Python programming questions, a couple of coding questions, and some HR-related questions.

Interview Preparation Tips

Interview preparation tips for other job seekers - It was a good experience for me but feedback is expected because the questions asked from them were easy and I don't know how did they judge me based on that.

Interview questions from similar companies

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

I was interviewed in Dec 2024.

Round 1 - One-on-one 

(4 Questions)

  • Q1. What's the CI/CD workflow that's followed in your team?
  • Ans. 

    Our team follows a CI/CD workflow that includes automated testing, code reviews, and continuous integration.

    • Automated testing is run on every code change to catch bugs early.

    • Code reviews are conducted before merging changes to ensure code quality.

    • Continuous integration is used to automatically build and test code changes in a shared repository.

    • Deployment pipelines are set up to automate the release process.

    • Version cont...

  • Answered by AI
  • Q2. Has there been any security incident and how have you handled those ?
  • Ans. 

    Yes, there have been security incidents and I have handled them effectively.

    • Implemented security protocols to prevent future incidents

    • Conducted thorough investigation to identify the root cause

    • Collaborated with IT team to strengthen security measures

    • Communicated with stakeholders to ensure transparency and trust

    • Provided training to employees on cybersecurity best practices

  • Answered by AI
  • Q3. Difference between authorization and authentication ?
  • Ans. 

    Authentication verifies the identity of a user, while authorization determines what actions a user is allowed to perform.

    • Authentication confirms the identity of a user through credentials like passwords or biometrics.

    • Authorization determines the level of access or permissions a user has once their identity is confirmed.

    • Authentication is the process of logging in, while authorization is the process of granting or denyin...

  • Answered by AI
  • Q4. LLD for an authentication and authorization system
  • Ans. 

    LLD for an authentication and authorization system

    • Separate modules for authentication and authorization

    • Use of secure hashing algorithms for storing passwords

    • Role-based access control implementation

    • Audit logging for tracking user actions

    • Integration with external identity providers

  • Answered by AI
Round 2 - One-on-one 

(1 Question)

  • Q1. Design a document managed storage like google drive as an E2E solution.
  • Ans. 

    Design a document managed storage like Google Drive as an E2E solution.

    • Implement user authentication and authorization for secure access.

    • Create a user-friendly interface for uploading, organizing, and sharing documents.

    • Include features like version control, file syncing, and search functionality.

    • Utilize cloud storage for scalability and accessibility.

    • Implement encryption for data security.

    • Integrate with third-party app

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well on the points mentioned in your resume.
Be ready to provide reasons for decisions taken for your resume.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I was interviewed in Jan 2025.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Can you elaborate on your work experience?
  • Ans. 

    I have 5 years of experience in analyzing large datasets to extract valuable insights and make data-driven decisions.

    • Analyzed customer behavior data to optimize marketing strategies

    • Built predictive models to forecast sales trends

    • Utilized machine learning algorithms to improve product recommendations

    • Presented findings to stakeholders in a clear and actionable manner

  • Answered by AI
  • Q2. What questions were asked regarding your work experience?
  • Ans. 

    Questions related to work experience in data science field.

    • Asked about previous projects worked on

    • Inquired about specific data analysis techniques used

    • Discussed challenges faced and how they were overcome

  • Answered by AI
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

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

Round 1 - One-on-one 

(2 Questions)

  • Q1. Explain the RAG pipeline?
  • Ans. 

    RAG pipeline is a data processing pipeline used in data science to categorize data into Red, Amber, and Green based on certain criteria.

    • RAG stands for Red, Amber, Green which are used to categorize data based on certain criteria

    • Red category typically represents data that needs immediate attention or action

    • Amber category represents data that requires monitoring or further investigation

    • Green category represents data that...

  • Answered by AI
  • Q2. Explain Confusion metrics
  • Ans. 

    Confusion metrics are used to evaluate the performance of a classification model by comparing predicted values with actual values.

    • Confusion matrix is a table that describes the performance of a classification model.

    • It consists of four different metrics: True Positive, True Negative, False Positive, and False Negative.

    • These metrics are used to calculate other evaluation metrics like accuracy, precision, recall, and F1 s...

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Gen AI projects
  • Q2. Architecture of projects I worked
Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

DSA and ML, AI, Coding question

Round 2 - One-on-one 

(1 Question)

  • Q1. Case study which was easy
Round 3 - One-on-one 

(1 Question)

  • Q1. In depth questions on ML
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Difficult To solve in 30 minutes

Round 2 - Technical 

(1 Question)

  • Q1. Python libraries pandas sql

Interview Preparation Tips

Interview preparation tips for other job seekers - Be Confident
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Coding Test 

SQL, Python coding …

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Given 6 coding qns related to java and html and also ML.

Round 2 - Technical 

(1 Question)

  • Q1. Explain abt projects and qns related to ML.
  • Ans. 

    Projects in machine learning involve developing algorithms to analyze and interpret data for various applications.

    • Developing a recommendation system for an e-commerce website

    • Predicting customer churn for a telecommunications company

    • Classifying images in a computer vision project

    • Anomaly detection in network traffic for cybersecurity

    • Natural language processing for sentiment analysis

  • Answered by AI
Round 3 - HR 

(1 Question)

  • Q1. Basic hr qns why straive?

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Mar 2023. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Past projects of machine learning
  • Ans. 

    Developed a predictive model for customer churn using machine learning algorithms.

    • Used Python and scikit-learn library for data preprocessing and model building

    • Performed feature engineering to improve model performance

    • Evaluated model performance using metrics like accuracy, precision, and recall

  • Answered by AI
  • Q2. Distributed computing and spark questions

Skills evaluated in this interview

Nielsen Interview FAQs

What are the top questions asked in Nielsen Executive Data Scientist interview?

Some of the top questions asked at the Nielsen Executive Data Scientist interview -

  1. 1st round was an online test, which was pretty forward, thereafter I went onto ...read more
  2. Questions were asked on the topics like SQL, Python programming questions, a co...read more
  3. The interview was really basic and any fresher can achieve iff they want you to...read more

Tell us how to improve this page.

Interview Questions from Similar Companies

EXL Service Interview Questions
3.7
 • 736 Interviews
S&P Global Interview Questions
4.1
 • 275 Interviews
Mu Sigma Interview Questions
2.6
 • 229 Interviews
Access Healthcare Interview Questions
3.9
 • 208 Interviews
Straive Interview Questions
3.4
 • 174 Interviews
CorroHealth Interview Questions
3.3
 • 145 Interviews
Kantar Interview Questions
3.5
 • 96 Interviews
Netscribes Interview Questions
2.8
 • 82 Interviews
View all
Nielsen Executive Data Scientist Salary
based on 11 salaries
₹4.5 L/yr - ₹11.8 L/yr
10% more than the average Executive Data Scientist Salary in India
View more details
Data Analyst
208 salaries
unlock blur

₹2 L/yr - ₹9.1 L/yr

Analyst
191 salaries
unlock blur

₹1.8 L/yr - ₹9.4 L/yr

Manager
165 salaries
unlock blur

₹8.9 L/yr - ₹23 L/yr

Senior Research Executive
165 salaries
unlock blur

₹7 L/yr - ₹12.6 L/yr

Research Executive
145 salaries
unlock blur

₹5.2 L/yr - ₹9 L/yr

Explore more salaries
Compare Nielsen with

Kantar

3.5
Compare

GfK MODE

3.3
Compare

Euromonitor International

3.6
Compare

Dun & Bradstreet

3.3
Compare
Did you find this page helpful?
Yes No
write
Share an Interview