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GE Aviation Senior Data Scientist Interview Questions and Answers

Updated 6 Feb 2023

GE Aviation Senior Data Scientist Interview Experiences

1 interview found

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

I applied via Referral and was interviewed in Jan 2023. There were 2 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all Resume tips
Round 2 - Technical 

(2 Questions)

  • Q1. Asked about Projects ?
  • Q2. Asked about algorithms

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared with your cv. Add all technical details and study the models u mentioned properly

Senior Data Scientist Jobs at GE Aviation

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Interview questions from similar companies

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

(2 Questions)

  • Q1. Find the second highest salary in sql
  • Ans. 

    Use SQL query with ORDER BY and LIMIT to find the second highest salary.

    • Use SELECT statement to retrieve salary column from the table.

    • Use ORDER BY clause to sort the salaries in descending order.

    • Use LIMIT 1,1 to get the second highest salary.

  • Answered by AI
  • Q2. Check duplicate rows using sql, group by, window function.
  • Ans. 

    Use SQL query with GROUP BY and window function to check for duplicate rows.

    • Use GROUP BY to group rows with same values together

    • Use COUNT() function to count the number of occurrences of each group

    • Use window function like ROW_NUMBER() to assign a unique number to each row within a group

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Referral and was interviewed in Sep 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Node js working in detail
  • Ans. 

    Node.js is a runtime environment that allows you to run JavaScript on the server side.

    • Node.js is built on Chrome's V8 JavaScript engine.

    • It uses an event-driven, non-blocking I/O model that makes it lightweight and efficient.

    • Node.js is commonly used for building server-side applications, APIs, and real-time applications.

    • It has a large ecosystem of libraries and frameworks, such as Express.js and Socket.io.

  • Answered by AI
  • Q2. Timer working in node
  • Ans. 

    In Node.js, timers can be implemented using functions like setTimeout() and setInterval().

    • Use setTimeout() to execute a function once after a specified delay

    • Use setInterval() to execute a function repeatedly at a specified interval

    • Clear a timer using clearTimeout() or clearInterval()

    • Example: setTimeout(() => { console.log('Timer executed!'); }, 2000);

  • Answered by AI
Round 2 - Behavioral 

(2 Questions)

  • Q1. HLD questions on db and backend
  • Q2. Relational non relational db

Skills evaluated in this interview

Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Referral and was interviewed in Sep 2023. There were 4 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 - Aptitude Test 

Technical and coding

Round 3 - Technical 

(1 Question)

  • Q1. Technical questions
Round 4 - HR 

(1 Question)

  • Q1. Salary negotiations
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I was interviewed in Feb 2025.

Round 1 - Coding Test 

Data analysis , SQL, python, ML

Round 2 - Coding Test 

Excellent performance

Round 3 - HR 

(2 Questions)

  • Q1. Tell me about your self
  • Q2. Are you comfortable to position
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Power bi project experience, basics of sql, technical documentation
Round 2 - HR 

(1 Question)

  • Q1. Discussion related to Salary and Date of joining

I applied via LinkedIn and was interviewed before May 2021. There were 4 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 - Aptitude Test 

The aptitude test is pretty basic and logical

Round 3 - Technical 

(1 Question)

  • Q1. Based on the skills and case study you have mentioned in the resume and brainstorming ques too.
Round 4 - HR 

(1 Question)

  • Q1. Basic discussion. Simplest round.

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on skills that are mentioned in the resume and do practice of logical ques
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Oct 2023. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. SQL question was asked
  • Q2. Business acumen
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Sep 2024. There were 3 interview rounds.

Round 1 - Coding Test 

Based upon the profile vary, time series related problems, power BI

Round 2 - One-on-one 

(2 Questions)

  • Q1. Deep profile discussion
  • Q2. Futuristic opinion analysis
Round 3 - HR 

(2 Questions)

  • Q1. Salary discussion
  • Q2. Basic questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Aerospace knowledge matters in these companies

I applied via Indeed and was interviewed before Apr 2021. There were 5 interview rounds.

Round 1 - Video Call 

(3 Questions)

  • Q1. What are the types of ML algorithms? Give an example of each.
  • Ans. 

    There are several types of ML algorithms, including supervised learning, unsupervised learning, and reinforcement learning.

    • Supervised learning: algorithms learn from labeled data to make predictions or classifications (e.g., linear regression, decision trees)

    • Unsupervised learning: algorithms find patterns or relationships in unlabeled data (e.g., clustering, dimensionality reduction)

    • Reinforcement learning: algorithms l...

  • Answered by AI
  • Q2. How do you do time series classification?
  • Ans. 

    Time series classification involves using machine learning algorithms to classify time series data based on patterns and trends.

    • Preprocess the time series data by removing noise and outliers

    • Extract features from the time series data using techniques such as Fourier transforms or wavelet transforms

    • Train a machine learning algorithm such as a decision tree or neural network on the extracted features

    • Evaluate the performan...

  • Answered by AI
  • Q3. What is PCA and where and how it is used?
  • Ans. 

    PCA stands for Principal Component Analysis. It is a statistical technique used for dimensionality reduction.

    • PCA is used to reduce the number of variables in a dataset while retaining the maximum amount of information.

    • It is commonly used in data preprocessing and exploratory data analysis.

    • PCA is also used in image processing, speech recognition, and finance.

    • It works by transforming the original variables into a new set...

  • Answered by AI
Round 2 - Assignment 

It is a typical Data Science assignment. We have to answer few questions asked in the assignment like why do you choose the features? or where can you use this model?

Round 3 - Technical 

(3 Questions)

  • Q1. Explain the project and project related questions
  • Q2. Explain the thought process about the choosing the model in your assignment
  • Ans. 

    The thought process for choosing the model involved considering the problem requirements, available data, and the desired outcome.

    • Identified the problem requirements and objectives

    • Explored the available data and its quality

    • Considered the nature of the problem (classification, regression, etc.)

    • Evaluated different models suitable for the problem

    • Analyzed the strengths and weaknesses of each model

    • Selected the model that be...

  • Answered by AI
  • Q3. Explain the EDA, features and metrics used in the assignment.
  • Ans. 

    EDA involved exploratory analysis of data to identify patterns and insights. Features included demographic and behavioral data. Metrics used were accuracy, precision, recall, and F1 score.

    • EDA involved data cleaning, visualization, and statistical analysis

    • Features included age, gender, income, education, and purchase history

    • Metrics used were accuracy, precision, recall, and F1 score to evaluate model performance

    • Explorat...

  • Answered by AI
Round 4 - Behavioral 

(2 Questions)

  • Q1. Few one-word answer questions to test your fitment in the company
  • Q2. Opinion based questions - for example do you think that AI is used extensively in current world? and do we need to privatize the every data we gather?
Round 5 - HR 

(3 Questions)

  • Q1. What are your salary expectations?
  • Ans. 

    I expect a competitive salary based on my experience, skills, and the market rate for data scientists.

    • I have researched the average salary range for data scientists in the industry.

    • I have considered my level of experience and expertise in the field.

    • I am open to discussing the salary package based on the overall compensation package offered by the company.

    • I value fair compensation that aligns with the responsibilities a

  • Answered by AI
  • Q2. Share details of your previous job.
  • Ans. 

    I worked as a Data Scientist at XYZ company.

    • Developed machine learning models to predict customer churn.

    • Analyzed large datasets to identify patterns and trends.

    • Collaborated with cross-functional teams to develop data-driven solutions.

    • Implemented data visualization techniques to communicate insights to stakeholders.

  • Answered by AI
  • Q3. Salary negotiations was discussed

Interview Preparation Tips

Topics to prepare for Rolls-Royce Data Scientist interview:
  • Machine Learning
Interview preparation tips for other job seekers - Be creative, true to yourself and prepare the ML topics well

Skills evaluated in this interview

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GE Aviation Interview FAQs

How many rounds are there in GE Aviation Senior Data Scientist interview?
GE Aviation interview process usually has 2 rounds. The most common rounds in the GE Aviation interview process are Resume Shortlist and Technical.
How to prepare for GE Aviation Senior 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 Aviation. The most common topics and skills that interviewers at GE Aviation expect are Aerospace, Agile Coaching, Analytical Chemistry, Artificial Intelligence and Data Analytics.

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GE Aviation Senior Data Scientist Interview Process

based on 1 interview

Interview experience

4
  
Good
View more

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GE Aviation Senior Data Scientist Salary
based on 11 salaries
₹14.5 L/yr - ₹29 L/yr
21% less than the average Senior Data Scientist Salary in India
View more details

GE Aviation Senior Data Scientist Reviews and Ratings

based on 1 review

4.0/5

Rating in categories

3.0

Skill development

5.0

Work-life balance

3.0

Salary

4.0

Job security

5.0

Company culture

4.0

Promotions

3.0

Work satisfaction

Explore 1 Review and Rating
Sr Data Scientist

Bangalore / Bengaluru

3-8 Yrs

Not Disclosed

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