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Data Scientist Junior Interview Questions

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43,773 data scientist junior interview questions shared by candidates

The first technical screening will test your ability of debug and problem and write SQL query. The second technical screening go over your ability to analyze a data problem and explain end-to-end on solving it, from selecting the required data to coding the solution. It is done on a virtual whiteboard and facilitated as a conversation with the interviewer. Another similar interview will be done during the final round, with more emphasis on problem solving. There will also be a statistic interview, technical data analysis interview and cultural fit interview.
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Data Scientist, Deliverr

Interviewed at Deliverr

4.2★
Sep 13, 2021

The first technical screening will test your ability of debug and problem and write SQL query. The second technical screening go over your ability to analyze a data problem and explain end-to-end on solving it, from selecting the required data to coding the solution. It is done on a virtual whiteboard and facilitated as a conversation with the interviewer. Another similar interview will be done during the final round, with more emphasis on problem solving. There will also be a statistic interview, technical data analysis interview and cultural fit interview.

Q1) Transformers/BERT/Attention Mechanism vs self-attention mechanism Q2) How does Faster RCNN work? Q3) How do an RNN works? Q4) Bias-variance Tradeoff Q5) How do you perform feature engineering? Q6) Define Recall, Precision, and F1 score with formulas Q7) Where do Data scientists spend most of their time while solving a problem? Q8) Quicksort Algorithm. Q9) How do you work under pressure? Q10) Egg dropping logical problem.
avatar

Data Scientist

Interviewed at Innoplexus

4.4★
Jun 13, 2021

Q1) Transformers/BERT/Attention Mechanism vs self-attention mechanism Q2) How does Faster RCNN work? Q3) How do an RNN works? Q4) Bias-variance Tradeoff Q5) How do you perform feature engineering? Q6) Define Recall, Precision, and F1 score with formulas Q7) Where do Data scientists spend most of their time while solving a problem? Q8) Quicksort Algorithm. Q9) How do you work under pressure? Q10) Egg dropping logical problem.

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