Imagine you are trying to hire a Data Scientist for your team. In addition to technical ability and quantitative background, which additional essential trait would you look for in people applying for this position?

Your organization has a website where visitors randomly receive one of two coupons. It is also possible that visitors to the website will not receive a coupon. You have been asked to determine if offering a coupon to visitors to your website has any impact on their purchase decision.
Which analysis method should you use?

You have been assigned to run a logistic regression model for each of 100 countries, and all the data is currently stored in a PostgreSQL database. Which tool/library would you use to produce these models with the least effort?

What is a core deliverable at the end of the analytic project?

A disk drive manufacturer has a defect rate of less than 1.5% with 98% confidence. A quality assurance team samples 1000 disk drives and finds 14 defective units. Which action should the team recommend?

You submit a MapReduce job to a Hadoop cluster and notice that although the job was successfully submitted, it is not completing. What should you do?

What describes a true limitation of Logistic Regression method?

Which method is used to solve for coefficients b0, b1, .., bn in your linear regression model :
Y = b0 + b1x1+b2x2+.+bnxn

While having a discussion with your colleague, this person mentions that they want to perform K-means clustering on text file data stored in HDFS.
Which tool would you recommend to this colleague?

You have completed your model and are handing it off to be deployed in production. What should you deliver to the production team, along with your commented code?