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GE Appliances Data Scientist Interview Questions and Answers for Experienced

Updated 24 Apr 2024

GE Appliances Data Scientist Interview Experiences for Experienced

1 interview found

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

I applied via Job Portal and was interviewed before Apr 2023. There were 2 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. Asked about the algorithms in ML
Round 2 - One-on-one 

(1 Question)

  • Q1. This is behourial rounds about ML project's we did in past

Interview Preparation Tips

Interview preparation tips for other job seekers - This is behavioral round

Interview questions from similar companies

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Explain xgboost
  • Ans. 

    XGBoost is a popular machine learning algorithm known for its speed and performance in gradient boosting.

    • XGBoost stands for eXtreme Gradient Boosting.

    • It is an implementation of gradient boosted decision trees designed for speed and performance.

    • XGBoost is widely used in machine learning competitions and has become a popular choice for data scientists.

    • It can handle missing data and is optimized for parallel processing.

    • XG...

  • Answered by AI
  • Q2. Explain decision tree
  • Ans. 

    Decision tree is a predictive modeling tool that uses a tree-like graph of decisions and their possible consequences.

    • Decision tree is a supervised learning algorithm used for classification and regression tasks.

    • It breaks down a dataset into smaller subsets based on different attributes.

    • Each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome...

  • Answered by AI

Skills evaluated in this interview

I applied via Referral 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 tips
Round 2 - One-on-one 

(1 Question)

  • Q1. Interview questions were mostly based on basic SQL and python queries
Round 3 - One-on-one 

(1 Question)

  • Q1. Question were asked on machine learning algorithms. There were few questions related to deep learning and image processing.Interviewer has asked me write live code on some moderate level DSA question.

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare basics of SQL
Prepare some DSA ( moderate level will be sufficient)
Machine learning (deep understanding of algorithms)
Basic understanding of deep learning
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

I was interviewed before Oct 2019.

Interview Questionnaire 

1 Question

  • Q1. Case study

Interview Preparation Tips

Interview preparation tips for other job seekers - Be authentic about your work experience. Think before you speak. Take your time to formulate ideas and thought process on scenario based questions. Under no circumstances lie about your capabilities because it is very easy for the interviewer to figure out the veracity of your resume. Be concise on your resume so that you get the opportunity to drive your conversation.
Interview experience
3
Average
Difficulty level
Easy
Process Duration
4-6 weeks
Result
No response

I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Coding Test 

C++ basic and advance level

Round 2 - Technical 

(1 Question)

  • Q1. Advance DSA questions
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Explain xgboost
  • Ans. 

    XGBoost is a popular machine learning algorithm known for its speed and performance in gradient boosting.

    • XGBoost stands for eXtreme Gradient Boosting.

    • It is an implementation of gradient boosted decision trees designed for speed and performance.

    • XGBoost is widely used in machine learning competitions and has become a popular choice for data scientists.

    • It can handle missing data and is optimized for parallel processing.

    • XG...

  • Answered by AI
  • Q2. Explain decision tree
  • Ans. 

    Decision tree is a predictive modeling tool that uses a tree-like graph of decisions and their possible consequences.

    • Decision tree is a supervised learning algorithm used for classification and regression tasks.

    • It breaks down a dataset into smaller subsets based on different attributes.

    • Each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome...

  • Answered by AI

Skills evaluated in this interview

I applied via Referral and was interviewed in May 2022. 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 - One-on-one 

(1 Question)

  • Q1. Interview questions were mostly based on basic SQL and python queries
Round 3 - One-on-one 

(1 Question)

  • Q1. Question were asked on machine learning algorithms. There were few questions related to deep learning and image processing.Interviewer has asked me write live code on some moderate level DSA question.

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare basics of SQL
Prepare some DSA ( moderate level will be sufficient)
Machine learning (deep understanding of algorithms)
Basic understanding of deep learning
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

I was interviewed before Oct 2019.

Interview Questionnaire 

1 Question

  • Q1. Case study

Interview Preparation Tips

Interview preparation tips for other job seekers - Be authentic about your work experience. Think before you speak. Take your time to formulate ideas and thought process on scenario based questions. Under no circumstances lie about your capabilities because it is very easy for the interviewer to figure out the veracity of your resume. Be concise on your resume so that you get the opportunity to drive your conversation.

GE Appliances Interview FAQs

How many rounds are there in GE Appliances Data Scientist interview for experienced candidates?
GE Appliances interview process for experienced candidates usually has 2 rounds. The most common rounds in the GE Appliances interview process for experienced candidates are One-on-one Round.
How to prepare for GE Appliances Data Scientist interview for experienced candidates?
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 Appliances . The most common topics and skills that interviewers at GE Appliances expect are Analytics, Change Management, Coding, Information Technology and Open Source.

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