Data Scientist applicants have rated the interview process at ABC with 2.5 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 66.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 14 days to get hired, when considering 4 user submitted interviews for this role. To compare, the hiring process at ABC overall takes an average of 21 days.
Common stages of the interview process at ABC as a Data Scientist according to 4 Glassdoor interviews include:
Background check: 17%
Drug test: 17%
Skills test: 17%
IQ intelligence test: 11%
Presentation: 11%
Personality test: 6%
One on one interview: 6%
Group panel interview: 6%
Other: 6%
Phone interview: 6%
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The interview process is a structured series of interactions between a hiring manager and a job candidate, designed to assess the candidate's qualifications and suitability for a role. It typically involves several stages, including phone screens, initial interviews, and potentially further assessments or interviews with different team members.
Screening first , call from HR and 3 Interview technical round including one coding round of python and SQL . First round mostly conducted to see the expertise in python and understanding of machine learning concept and sql basic query mostly conducted by the data scientist . second round conducted by the senior/Lead data scientist which start with the recent project work and follow up question , final round is half technical and half managerial
Interview questions [1]
Question 1
what is the difference betweenF1 score macro and F1 score micro
I applied online. I interviewed at ABC (Chennai) in Aug 2024
Interview
An interview experience is often a mix of excitement and nerves. It involves showcasing skills, answering questions, and interacting with interviewers while assessing if the company is the right fit.
Interview questions [1]
Question 1
Behavioral Questions: "Tell me about a time you handled a difficult situation."
Technical Questions: "Explain how an API works."
Problem-solving Questions: "How would you approach solving X issue?"
Situational Questions: "What would you do if faced with a tight deadline?"
Cultural Fit Questions: "Why do you want to work at this company?"
Self-assessment Questions: "What are your strengths and weaknesses?"
Career Goals Questions: "Where do you see yourself in five years?"