how would you benchmark your project
Data Sciences Interview Questions
10,899 data sciences interview questions shared by candidates
What I did for a living, how I would handle difficult situations, typical questions to ask during an interview.
i) What safety measures you take in your work-place environment, how important it is for anyone. ii) What are the statistical models you use like logistic regression etc iii) They showed some graphs on the electricity consumption pattern in a year and a particular day of a year (winter/summer) to figure out the peak time and what could be the factors of the high consumption in a day from morning or afternoon and the dip during night times iv) One of them showed the SAS output in a paper of a simple linear time-series forecasting model to read the significant coefficients from the linear model based on the t-statistic & Durbin–Watson statistic. v) They asked what do you do to keep updating the data science skills like reading journals, mooc, online competitions such as kaggle etc vi) how do you prioritize your work if an urgent requirements comes in. vii) How do you communicate with teams with different wavelengths (like engineering , operations, business, VP etc)? viii) what if your manager disagrees with you? ix) how do you persuade your obdurate team member? ix) What statistical/software tools you use in your current company like R, SQL, Tableau?
1. Why Nordstrom? 2. What would you do if your colleagues or customers find faults in your project? What you will do if your colleagues question your project: How do you deal with conflict at work?
Do you have experience dealing with missing values in the dataset?
Would you talk about advantages and disadvantages of linear models?
Two important parameters of the CNN.
Two important parameters of the decision tree.
Tell us about the company
Standard interview questions, like introduce yourself, what type of work are you into
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