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GE Healthcare Data Scientist Interview Questions and Answers

Updated 16 Jul 2024

GE Healthcare Data Scientist Interview Experiences

2 interviews found

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

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

Round 1 - Coding Test 

2 leetcode easy questions were asked

Round 2 - Case Study 

Data science case study

Round 3 - HR 

(1 Question)

  • Q1. Why would you join us

I applied via Company Website and was interviewed before May 2021. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Basics of regression, bias variance

Interview Preparation Tips

Topics to prepare for GE Healthcare Data Scientist interview:
  • python
Interview preparation tips for other job seekers - ML basics. Some insight into past projects

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Interview questions from similar companies

I applied via LinkedIn and was interviewed before Aug 2021. There were 2 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. Describe a decision tree
  • Ans. 

    A decision tree is a flowchart-like model that shows the possible outcomes of a decision based on certain conditions.

    • It is a tree-like structure with nodes representing decisions and branches representing outcomes

    • Each node has a condition that determines which branch to follow

    • It is commonly used in machine learning for classification and regression tasks

    • Example: A decision tree for predicting whether a customer will bu...

  • Answered by AI
  • Q2. What is random forest
  • Ans. 

    Random forest is an ensemble learning method for classification, regression and other tasks.

    • Random forest builds multiple decision trees and combines their outputs to improve accuracy.

    • It is a popular machine learning algorithm due to its high accuracy and ability to handle large datasets.

    • Random forest can be used for both classification and regression tasks.

    • It is resistant to overfitting and can handle missing data.

    • Exa...

  • Answered by AI
  • Q3. What is neural network
  • Ans. 

    Neural network is a type of machine learning algorithm inspired by the structure and function of the human brain.

    • Consists of layers of interconnected nodes that process information

    • Used for tasks such as image recognition, natural language processing, and prediction

    • Can be trained using supervised, unsupervised, or reinforcement learning

    • Examples include convolutional neural networks, recurrent neural networks, and deep n

  • Answered by AI
Round 2 - Coding Test 

Leetcode style coding

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare deep learning and AI. Practice leetcode

Skills evaluated in this interview

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

I applied via Naukri.com and was interviewed before Feb 2023. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Questions related to Python , ML, Deep Learning and resume based questions
Round 2 - One-on-one 

(1 Question)

  • Q1. Project related
Round 3 - HR 

(1 Question)

  • Q1. Usual HR questions
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

15 statistical and logical questions

Round 2 - Coding Test 

2 easy to medium coding problmes. e.g. swapping the array.

Round 3 - Technical 

(2 Questions)

  • Q1. What is regression ? how it works
  • Ans. 

    Regression is a statistical method used to analyze the relationship between variables and predict outcomes.

    • Regression models the relationship between a dependent variable and one or more independent variables.

    • It works by finding the best-fit line that minimizes the sum of squared differences between the actual and predicted values.

    • Examples include linear regression, polynomial regression, and logistic regression.

  • Answered by AI
  • Q2. Questions on recent projects
Round 4 - HR 

(1 Question)

  • Q1. Basic back ground check

Skills evaluated in this interview

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

I applied via LinkedIn and was interviewed in Nov 2023. There were 5 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. SQL related questions on snowflake and databricks
Round 3 - Technical 

(1 Question)

  • Q1. Database architecture and design related questions
Round 4 - Behavioral 

(1 Question)

  • Q1. Databricks experience, domain knowledge and mostly experience related questions.
Round 5 - HR 

(1 Question)

  • Q1. Expectations and how you would be a good fit. All general HR questions that you can find

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident about your skills and sale yourself well.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in May 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Explain about project in detail
  • Q2. How did you manage so much cgpa?
  • Ans. 

    I managed a high CGPA through consistent hard work, effective time management, seeking help when needed, and staying organized.

    • Consistent hard work by studying regularly and staying focused on academics

    • Effective time management to balance studies, assignments, and extracurricular activities

    • Seeking help from professors, tutors, or classmates when facing challenges

    • Staying organized with study schedules, notes, and deadli

  • Answered by AI
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What time intelligence functions can be used for ytd and qtd analysis
  • Ans. 

    Time intelligence functions like YTD (Year-to-Date) and QTD (Quarter-to-Date) can be used for YTD and QTD analysis in data analytics.

    • YTD analysis can be done using functions like YTD() or TOTALYTD() to calculate values from the beginning of the year up to the selected date.

    • QTD analysis can be done using functions like QTD() or TOTALQTD() to calculate values from the beginning of the quarter up to the selected date.

    • Thes...

  • Answered by AI
  • Q2. Difference between import and direct query
  • Ans. 

    Import brings data into Power BI for further analysis, while direct query connects to data source in real-time.

    • Import: Data is loaded into Power BI for analysis, improving performance but requiring periodic refreshes.

    • Direct Query: Connects to data source in real-time, allowing for up-to-date information but potentially slower performance.

    • Import is suitable for smaller datasets, while direct query is better for large da

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
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 

(1 Question)

  • Q1. Details on the projects you have worked
  • Ans. 

    I have worked on various projects including web development, data analysis, and software testing.

    • Web development: Created a responsive website using HTML, CSS, and JavaScript.

    • Data analysis: Analyzed customer data to identify trends and make recommendations for marketing strategies.

    • Software testing: Conducted thorough testing of a mobile application to ensure functionality and usability.

    • Project management: Led a team of...

  • Answered by AI
Round 3 - HR 

(1 Question)

  • Q1. How to handle the project, explain stepwise
  • Ans. 

    To handle a project, follow these steps

    • Define project goals and objectives

    • Create a project plan with tasks, timelines, and resources

    • Assign tasks to team members and set deadlines

    • Monitor progress and make necessary adjustments

    • Communicate regularly with stakeholders

    • Manage risks and resolve issues

    • Test and evaluate project deliverables

    • Complete the project and conduct a post-project review

  • Answered by AI
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Apr 2023. There were 2 interview rounds.

Round 1 - Case Study 

Create charts, Excel formulas

Round 2 - One-on-one 

(2 Questions)

  • Q1. Background and communication
  • Q2. Tell me about youe self

Interview Preparation Tips

Topics to prepare for Abbott Associate interview:
  • Advanced Excel
Interview preparation tips for other job seekers - Prepare pharma background
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GE Healthcare Interview FAQs

How many rounds are there in GE Healthcare Data Scientist interview?
GE Healthcare interview process usually has 2 rounds. The most common rounds in the GE Healthcare interview process are Case Study, HR and Technical.
How to prepare for GE Healthcare 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 GE Healthcare. The most common topics and skills that interviewers at GE Healthcare expect are Data Science, Machine Learning and Python.

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GE Healthcare Data Scientist Interview Process

based on 1 interview

Interview experience

3
  
Average
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GE Healthcare Data Scientist Salary
based on 12 salaries
₹11.4 L/yr - ₹21.6 L/yr
12% more than the average Data Scientist Salary in India
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