are you available to work weekends
Member Service Representative Interview Questions
54,654 member service representative interview questions shared by candidates
What do you tell your boss when you give the person the wrong order? How are you going to fix it?
Nothing. You just go out one by one for a 1 on 1 interview. You have him your application and he looks over it. You better say something, because there is not interview questions.
How would you deal with people who were waiting in a really long line for tickets and might be starting to get irritated?
When could you start?
How do you reverse print a string. After answering the same by providing an out of the box API, the next unexpected question was "What if it does NOT exist". While and 2nd alternative was provided, it was pretty much shot down as being not acceptable.
Talk about a time you went above and beyond for a customer
Group Scenario Question A customer walks in with their child to see a movie rated 15. You are unsure if the child is 15 years or not. What do you do?
Tell us about your experience multi-tasking.
Gaussian linear models are often insufficient in practical applications, where noise can be heavy- tailed. In this problem, we consider a linear model of the form yi = a · xi + b + ei. The (ei) are independent noise from a distribution that depends on x as well as on global parameters; however, the noise distribution has conditional mean zero given x. The goal is to derive a good estimator for the parameters a and b based on a sample of observed (x, y) pairs. 1.1 Instructions: 1. Load the data, which is provided as (x, y) pairs in CSV format. Each file contains a data set generated with different values of a and b. The noise distribution, conditional on x, is the same for all data sets. 2. Formulate a model for the data-generating process. 3. Based on your model, formulate a loss function for all parameters: a, b, and any additional parameters needed for your model. 4. Solve a suitable optimization problem, corresponding to your chosen loss function, to obtain point estimates for the model parameters. 5. Formulate and carry out an assessment of the quality of your parameter estimates. 6. Try additional models if necessary, repeating steps 2 − 5.
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