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7. Assume using multiple regression to create a predictive model. Describe how you plan to test this model.
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9. How do you know that your modifications are better than doing nothingwhile updating an algorithm?
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10. What would you do if you had an unbalanced data set for prediction (i.e., many more negative classes than positive classes)?
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11. How would you validate a model you constructed using multiple regression to produce a predictive model of a quantitative outcomevariable?
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12. I have two equivalent model s of accuracy and processing power. Which one should I use for production, and why should I do so?
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12. I have two equivalent model s of accuracy and processing power. Which missing values. What are your plans for dealing with them?
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1. What qualities do you believe a competent Data Scientist should possess?
Your response to this question will reveal a lot about how you view your position and the value you offer to a company to a hiring mana ger. In your response, you might discuss how data science necessitates a unique set of competencies and skills. A skilled Data Scientist must be able to combine technical skills like parsing data and creating models with business sense like understanding the challenges they're dealing with and recognizing actionable insights in their data. Y ou might also include a Data Scientist you like in your response, whether it's a colleague you know or an influential industry figure.
3. What are some of your strengths and weaknesses?
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4. Which data scientist do you aspire to be the most like?
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5. What attracted you to data science in the first place?
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6. What unique skills do you believe you can provide to the team?
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7. What made you leave your last job?
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8. What sort of compensation/pay do you expect?
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9. Give a few instances of data science best practices.
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10. What data science project at our organization would you want to work on?
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11. Do you like to work alone or in a group of Data Scientists?
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12. In five years, where do you see yourself?
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13. How do you deal with tense situations?
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14. What inspires and motivates you?
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15. What criteria do you use to determine success?
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16. What kind of work atmosphere do you want to be in?
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17. What do you enjoy doing outside of data science?
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1. Tell me about a time when you were a multi-discipl inary team member.
A Data Scientist works with a diverse group of people in technical and non- technical capacities. Working with developers, designers, product experts, data analysts, sales and market ing teams, and top-level executives, not to mention clients, is not unusual for a Data Scientist. So, in your response tothis question, show that you're a team player who enjoys the opportunity to meet and interact with people from other departments. Choose a scenario in which you reported to the company's highest-ranking officials to demonstrate not just that you can communicate with anybody but also how important your data-driven insights have been in the past.
2. Could you tell me about a moment when you used your leadership skills on the job?
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3. What steps do you use to resolve a conflict?
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4. What method do you like to use to establish rapport with others?
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5. Discuss a successful presentation you delivered and why you believe it went well.
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6. How would you communicate a complex technical issue to a colleague orclient who is less technical?
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7. Describe a situation in which you had to be cautious when discussing sensitive information. How did you pull it of f?
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8. On a scale of 1 to 10, how good are your communication skills? Give instances of situations that prove the rating is correct.
Extras
1. Tell me about a moment when you were tasked with cleaning and organizing a large data collection
According to studies, Data Scientists spend most of their time on data preparation rather than data mining or modelling. As a resul t, if you've worked as a Data Scientist before, you've almost certainly cleaned and organized a large data collection. It's also true that this is a job that just a few individuals like. However , data cleaning is one of the most crucial processes. As a result, you should walk the hiring manager through your data preparation process, including deleting duplicate observations, correcting structural problems, filtering outliers, dealing with missing data, and validating data.
2. Tell me about a data project you worked on and met a difficulty . What was your reaction?
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3. Have you gone above and beyond your normal responsibil ities? If so, how would you go about doing it?
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4. Tell me about a period when you were unsuccessful and what you learned from it.
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5. How have you used data to improve a customer's or stakeholder's experience?
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6. Give me an example of a goal you've attained and how you got there.
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7. Give an example of a goal you didn't achieve and how you dealt with it.
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8. What strategies did you use to meet a tight deadline?
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9. Tell me about an instance when you successfully settled a disagreement
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1. What's the difference between support vector machines and logistic regression? What is an example of when you would choose to use one overthe other?
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2. What is the integral representation of a ROC area under the curve?
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3. A disc is spinning on a spind le, and you don’t know which direction the disc is spinning. A set of pins is given to you. How will you utilize the pins to show how the disc is spinning?
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3. What would you do if you discovered that eliminating missing values from a dataset resulted in bias?
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4. What metrics would you consider when addressing queries about a product's health, growth, or engagement?
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5. When attempting to address business difficulties with our product, what metrics would you consider?
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6. How would you know whether a product is performing well or not?
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7. What is the best way to tell if a new observation is an outlier? What is the difference between a bias-variance trade-off?
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8. Discuss how to randomly choose a sample of a product's users.
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9. Before using machine learning algorithms, explain the data wrangling and cleaning methods.
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10. How would you deal with a binary classification that isn't balanced?
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11. What makes a good data visualization different from a bad one?
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12. What's the best way to find percentiles? Write the code for it.
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13. Make a function that determines whether a word is a palindrome.
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why do you want to work in this company?
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do you consider yourself successful?
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are you willing to travel?
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what are your salary expectations?
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what would you consider your greatest strengths?
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what would you consider your greatest weakness?
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what motivates you?
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why did you leave your last job?
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what experience do you have in this field?
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what do coworkers say about you?
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why should we hire you?
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are you a team player?
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what is your philosophy towards work?
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what have you learned from mistakes on the job?
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how would you know you were successful on this job?
Being successful means goals that are set are met. Being successful also means standards are not only reach, but also even exceeded wherever possible .
are you willing to work overtime nights weekends?
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what will you do if you dont get this position?
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what have you done to improve your knowledge in the last year?
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how you would be an asset to this company?
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how long would you expect to work for us in case you are hired?
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why do you think you would do well at this job?
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what irritates you about coworkers?
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do your skills match this job or another job more closely?
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what has disappointed you about a job?
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if you were hiring a person for this job what would you look for?
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what role do you tend to play in a team?
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what was the most difficult decision for you made?
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are you willing to make sacrifices for this company?
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what qualities do you look for in a boss?
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are you applying in other companies as well?
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do you know anyone who works in our company?
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how do you propose to compensate for your lack of experience?
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have you ever worked in a job that you hated?
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what would your previous supervisor say your strongest point is?
Some of my strongest points at work are being hardworking, patient and a quick learner.
what is the most difficult thing about working with you?
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what suggestions have you made in your previous employment that was implemented?
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would you rather be liked or feared?
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how do you cope with stress?
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would you rather work for money or job satisfaction?
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what was your biggest challenge with your previous boss?
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do you enjoy working as part of a team?
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why should we hire you?
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has anything ever irritated you about people youve worked with?
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do you have any questions for me?
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what is the sql server query execution sequence?
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what is normalization?
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