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Empower Data Scientist Interview Questions and Answers

Updated 29 Nov 2023

Empower Data Scientist Interview Experiences

1 interview found

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 Oct 2023. 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 tips
Round 2 - Technical 

(1 Question)

  • Q1. Programming an algorithm
  • Ans. 

    Programming an algorithm

    • Understand the problem and define the desired outcome

    • Break down the problem into smaller steps

    • Choose the appropriate programming language and tools

    • Implement the algorithm using code

    • Test and debug the algorithm for correctness and efficiency

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

(1 Question)

  • Q1. Case study about an advertisement and data collection

Interview Preparation Tips

Interview preparation tips for other job seekers - Do some case study, master the basics of ML

Skills evaluated in this interview

Interview questions from similar companies

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

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

Round 1 - One-on-one 

(2 Questions)

  • Q1. Whats is supervised learning
  • Ans. 

    Supervised learning is a type of machine learning where the model is trained on labeled data to make predictions or decisions.

    • Uses labeled data for training

    • Predicts outcomes based on input features

    • Examples include regression and classification algorithms

  • Answered by AI
  • Q2. What is unsupervised learning
  • Ans. 

    Unsupervised learning is a type of machine learning where the model is trained on unlabeled data without any predefined output labels.

    • No predefined output labels are provided for the training data

    • The model must find patterns and relationships in the data on its own

    • Common techniques include clustering and dimensionality reduction

    • Examples: K-means clustering, Principal Component Analysis (PCA)

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - do hard work

Skills evaluated in this interview

Interview experience
2
Poor
Difficulty level
Easy
Process Duration
2-4 weeks
Result
No response

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

Round 1 - Technical 

(2 Questions)

  • Q1. 1) Formula for Precision and recall
  • Ans. 

    Precision = TP / (TP + FP), Recall = TP / (TP + FN)

    • Precision is the ratio of correctly predicted positive observations to the total predicted positive observations

    • Recall is the ratio of correctly predicted positive observations to the all observations in actual class

    • Example: If a model predicts 100 positive cases, out of which 80 are actually positive, precision = 80/100, recall = 80/total actual positive cases

  • Answered by AI
  • Q2. 2) Difference between R2 and adjusted R2
  • Ans. 

    R2 measures the proportion of variance explained by the model, while adjusted R2 adjusts for the number of predictors in the model.

    • R2 is the proportion of variance in the dependent variable that is predictable from the independent variables.

    • Adjusted R2 penalizes the addition of unnecessary predictors in the model, providing a more accurate measure of the model's goodness of fit.

    • R2 can increase even when adding irreleva...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for ICICI Lombard General Insurance Company Data Scientist interview:
  • Machine Learning
  • STATISICS
  • Python
Interview preparation tips for other job seekers - Keep your basics clear

Skills evaluated in this interview

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

(2 Questions)

  • Q1. Technical ML QUESTIONS
  • Q2. PYTHON QUESTIONS
Interview experience
1
Bad
Difficulty level
Easy
Process Duration
More than 8 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Jul 2023. There were 2 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Why do you want to join Swiss Re?
  • Q2. What makes you a good fit for the role?
Round 2 - Assignment 

Reinsurance Contracts

I applied via Approached by Company and was interviewed in Aug 2022. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. In which situations what type of charts will be used
  • Ans. 

    Charts are used to represent data visually. Different types of charts are used based on the type of data and purpose.

    • Line charts for showing trends over time

    • Bar charts for comparing values

    • Pie charts for showing proportions

    • Scatter plots for showing relationships between variables

    • Heat maps for showing density or distribution

    • Histograms for showing frequency distribution

    • Box plots for showing distribution and outliers

    • Gantt

  • Answered by AI
  • Q2. Few SQL Join questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Be ready to answer each and everything you have written in your resume

I applied via Referral and was interviewed before Jul 2021. There was 1 interview round.

Round 1 - HR 

(1 Question)

  • Q1. Self introduction, what's your qualification, how many years of experience.
  • Ans. 

    I am a highly qualified professional with several years of experience in the field.

    • I have a Bachelor's degree in Business Administration.

    • I have 5 years of experience working in the finance industry.

    • I am skilled in financial analysis, budgeting, and forecasting.

    • I have successfully managed large-scale projects and teams.

    • I am proficient in various financial software and tools.

    • I have a proven track record of achieving targ

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - I am currently working in Exide company, we have expectation for salary some past 2 years no increment no bonus etc.

I applied via Naukri.com and was interviewed before Jun 2021. There were 2 interview rounds.

Round 1 - Aptitude Test 

Try to have basic knowledge of computers

Round 2 - HR 

(1 Question)

  • Q1. Try to gather as much knowledge as u can about general insurance and TPA

Interview Preparation Tips

Interview preparation tips for other job seekers - Be in formals, be positive, try to give answer by having a smiley face. Wish all the best.

I applied via Campus Placement and was interviewed before Sep 2021. There was 1 interview round.

Round 1 - One-on-one 

(1 Question)

  • Q1. Basic details about you, how you convince customer to buy new policy, what will you do if customer not respond you and also dis respect you, etc

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident and stay clam while appearing for interview because they also check your patience
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. KPIs used in the project
  • Ans. 

    Key Performance Indicators (KPIs) are metrics used to evaluate the success of a project.

    • KPIs are specific, measurable, achievable, relevant, and time-bound metrics used to track progress towards project goals.

    • Examples of KPIs in a data analysis project could include data accuracy, completion time, client satisfaction, and cost savings.

    • KPIs help in monitoring and improving the performance of the project team and ensurin

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. Number of rows and columns that can be uploaded in Power BI
  • Ans. 

    Power BI allows uploading up to 1 million rows and 1,500 columns in a dataset.

    • Power BI allows uploading a maximum of 1 million rows in a dataset.

    • Power BI allows uploading a maximum of 1,500 columns in a dataset.

    • Exceeding these limits may result in performance issues.

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

(1 Question)

  • Q1. Describe your weakness and strengths
  • Ans. 

    My weakness is overthinking, but my strengths include attention to detail, problem-solving skills, and strong analytical abilities.

    • Weakness: tend to overthink situations, which can sometimes lead to indecision

    • Strengths: attention to detail, able to identify patterns and trends, strong problem-solving skills, excellent analytical abilities

  • Answered by AI

Skills evaluated in this interview

Empower Interview FAQs

How many rounds are there in Empower Data Scientist interview?
Empower interview process usually has 3 rounds. The most common rounds in the Empower interview process are Resume Shortlist, Technical and One-on-one Round.
What are the top questions asked in Empower Data Scientist interview?

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

  1. Programming an algori...read more
  2. Case study about an advertisement and data collect...read more

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Empower Data Scientist Interview Process

based on 1 interview

Interview experience

5
  
Excellent
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Empower Data Scientist Salary
based on 4 salaries
₹17 L/yr - ₹27 L/yr
48% more than the average Data Scientist Salary in India
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Compare Empower with

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