Jefferies Machine Learning IT Analyst interview questions
based on 1 rating - Updated May 14, 2019
Difficultinterview difficulty
Very positiveinterview experience
How others got an interview
100%
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Campus Recruiting
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1 interviews
Jefferies interviews FAQs
Machine Learning IT Analyst applicants have rated the interview process at Jefferies with 4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 57.5% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at Jefferies as a Machine Learning IT Analyst according to 1 Glassdoor interviews include:
One on one interview: 100%
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I applied through college or university. I interviewed at Jefferies (New York, NY)
Interview
30 min on-campus interview which extended to 50 mins.. which is followed by a Superday if you get selected. Started with a general walk through the resume. Most of the time we discussed about my projects in MAchine Learning specifically on the data pre-processing part.
Interview questions [1]
Question 1
Statistics:
Define precision, accuracy and recall
Difference between regression and classification
ML:
Math for PCA
Math for RandomForest
Programming:
What is pickling in python ?
What are dictionaries?