Entry Level Scientist Interview Questions

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Entry Level Scientist interview questions shared by candidates

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IBM
Entry Level Data Scientist was asked...August 14, 2020

Tell me about yourself and your experience

4 Answers

Hi, could you share more about the two coding questions? Were they multiple choices focused on concepts or you actually were asked to code? What did you do for the SQL question? I have a coding assessment coming up soon! Your answer would be very appreciated!!! Best! Less

I have 20+ years experience in customer relations along with data entry.highly motivated. Less

On the assessment I had to complete two coding questions. One was using sql and the other was a coding language of your choice. I was then asked to interview with the recruiter and after that someone in the senior level position. Less

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IBM

What is p-value, CI

3 Answers

Google it. It's basic statistics but this is not a good place to explain it. If you've never heard of it, even applying for entry level data scientist is out of the question. Less

What is the correct source to read about this?

Did they have numerical problems as well? based on probability, etc.

Eurofins Scientific

technical questions (precision vs. accuracy) and basic HR questions (what is trust, why hire you, why eurofin)

2 Answers

i will update if i get picked and after how many days i heard back

offer extended 3 days after interview

IBM

How to deal with outlier value?

2 Answers

Use median instead of mean

Increase sample size and/or eliminate the outlier value from the model.

AECOM

Tell me about yourself?

2 Answers

Can you share some of questions and your answers?

Hello, First of all thank you for giving a opportunity to introduced my self to you. My name is Amit Kumar. I am from bihar which is my native place. I'm leave from Delhi. My higher qualifications is B. Tech from VITS Satna M. P. My hobby is........ I have good knowlage and skill, I will show you in my work That's all thank you Less

IBM

How to prevent over-fitting?

2 Answers

1) get more training data 2) using weight decay to limit capacity of the model 3) using early-stopping 4) using cross-validation 5) average many different models 6) drop-out Less

Regularization, test out of sample

IBM

1 open-ended machine learning question that provides a dataset and asks to conduct exploratory analysis, generate visualizations, predict a target variable, and visualize feature importance.

1 Answers

Hi may I DM you about this test. I have received the same link.

Halff Associates

How to make a .shp in Arc?

1 Answers

This was the first question they asked and I screwed up. It was asked within 30 seconds of starting the interview. I had not used arc in over a year at that point. But its an easy enough software to relearn. If you don't answer this seemingly trivial question, you're done. Less

Electronic Arts

general machine learning questions one algorithm question found in leetcode

1 Answers

Why did you decline the offer? Was there an issue?

Kleinfelder

How I felt about field work

1 Answers

That I liked field work and I think it is something of interest to me

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