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Nasa Research Scientist Interview Questions and Answers
Nasa Research Scientist Interview Experiences
1 interview found
Anonymous
Selected
I applied via Walk-in and was interviewed in Apr 2024. There was 1 interview round.
(1 Question)
- Q1. Tell me about yourself
Top trending discussions
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rakesh kumar Sharma
(2 Questions)
- Q1. ML questions and deep learning
- Q2. Project in your cv
(1 Question)
- Q1. Basic ML questions were asked.
Selected
I applied via Referral and was interviewed before Jan 2023. There were 3 interview rounds.
Python and SQL coding test along with basic data science questions
Python was on basic syntax. SQL was on medium difficulty
(1 Question)
- Q1. Correlation vs causation Central limit theorem Support Vector Machines Confusion matrix Basics of Deep Learning - activation function, optimizers and initialisation techniques Z score, P value Differenc...
(1 Question)
- Q1. Questions about my background My hobbies and interests
Interview Preparation Tips
They expect you to know broad areas even though it might be of shallow depth
I applied via Company Website and was interviewed in Feb 2024. There were 2 interview rounds.
(1 Question)
- Q1. Isolatn forest work? evalution metrics in laymann tems , pyspark basics , job lib
(1 Question)
- Q1. Scenerio based data science questns , paramatric and non parametric data
I was interviewed in Feb 2024.
(1 Question)
- Q1. Statistics, Machine Learning, Project -Easy to moderate questions
Interview Preparation Tips
prakhar pandey
(1 Question)
- Q1. Statistics, python, machine learning, regression
(1 Question)
- Q1. Statistics, machine learning, regression, python
(1 Question)
- Q1. Tell me about yourself
Selected
I applied via LinkedIn and was interviewed before May 2023. There were 2 interview rounds.
(1 Question)
- Q1. It was around recent projects, did an entire walkthrough of one of my projects related to deduplication of nlp content. At some of the stages, alternative objectives were evaluated. Ex: How to handle incre...
(1 Question)
- Q1. This was more on the depth of ML concepts. Information loss vs dimensional reductions, transformer architecture, metrics for different problem settings, loss functions, outlier analysis, drift detection et...
Selected
I applied via Approached by Company and was interviewed before Sep 2023. There was 1 interview round.
(1 Question)
- Q1. Business problem and how that can be solved using data science
I was interviewed in Oct 2021.
Interview Questionnaire
4 Questions
- Q1. Basics of Machine Learning
- Q2. In depth discussion of your projects in Machine Learning / Deep Learning
- Q3. How to approach a business problem from Data Science perspective?
- Ans.
Approach business problem with data science by understanding the problem, collecting relevant data, analyzing data, and presenting insights.
Understand the business problem and define the objective
Collect relevant data from various sources
Clean and preprocess the data
Analyze the data using statistical and machine learning techniques
Present insights and recommendations to stakeholders
Iterate and refine the approach as ne
- Q4. Explainability in Deep Learning
- Ans.
Explainability in Deep Learning refers to the ability to understand and interpret the decisions made by a deep learning model.
Explainability is important for ensuring transparency and accountability in AI systems.
It can be achieved through techniques such as feature visualization, saliency maps, and attention mechanisms.
Explainability can also help identify biases and errors in the model.
Examples of explainable deep le...
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Nasa Research Scientist Interview Process
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