28Keyrus SA Interview Questions & Answers
1.What questions do you have for me about Keyrus?
2.The way we approach clients in our business is we identify client needs and recommend solutions to their needs. Tell me about a time when your knowledge and expertise allowed you to make a recommendation to resolve a problem or address a pain point?
3.When dealing with data, in your opinion, is it better to have too many false positives, or too many false negatives? Please explain.
4.Describe to me your ideal employer.
5.What part of this career brings you the most stress?
6.Tell me about a time that you were assigned to manage a data analytics project. Walk me through the step-by-step process that you used to kick-off this project?
7.A client wants to implement a new software system that was recommended by a different division of the same company. How do you evaluate it to ensure it's the right choice?
8.Our clients have high expectations of our work, tell me about a time you worked with challenging time constraints, but were still able to exceed client expectations.
9.When designing a machine learning model, what in your opinion is more important, model performance or model accuracy, and why?
10.What are your salary expectations?
11.Have you ever broken a confidentiality agreement?
12.When you suffer a setback, how does that emotionally affect you and your work?
13.Your customer wants you to explain the benefits of the Big Data model you developed, how do you communicate the insights they can use for their business?
14.We're a company of innovative thinkers; we rely upon our innovative thinking to solve client problems. Tell me about a time when you came up with a breakthrough idea that was not obvious to others. Describe your idea and how you developed it?
15.Could you name a few data cleansing best practices that you follow, and how this has helped you become a better Data Consultant?
16.Describe a situation where a project you were managing failed. What did you learn about this failure, and were you able to salvage or turn it around?
17.Would you be willing to work over 40 hours a week?
18.How would your most recent manager describe you?
19.What is your knowledge of imputation? Would you kindly list different types of imputation techniques, and which method you find to be most favorable for your environment?
20.When have you had to change a major component of your project due to new information being presented?
21.What characteristics or events have contributed towards your success as a leader?
22.Big Data can be an efficient tool to monitor and grow a business, but can have challenges if not properly implemented. What challenges have you encountered while working with big data?
23.Tell me about a time where you made a great recommendation that you think would have greatly benefited your client, but they just didn't like it. What approach did you take to convince them?
24.Describe a time you helped implement a new technology for your client. Did you encounter any challenges, and how did you address them?
25.Help me understand your standards for success in your last job. Please describe what you did to attain those standards, and if you fell short of expectations, what did you do to remedy the problem?
26.Walk me through your post-secondary education and how it will help you in your career with Keyrus.
27.When have you worked amongst a diverse group of people?
28.Explain what the difference is between Data Mining and Data Analytics, and tell me how you have used both in your recent projects?
