Allstate Corporation is an American insurance company that specializes in car insurance while also having personal lines of insurance. The Allstate data science program is well refined. Allstate is one of the few companies that have jobs for junior data scientists roles for non-experienced candidates or candidates coming out of school.
If you’re preparing for an interview and searching for commonly asked Allstate data scientist interview questions, you’ve come to the right place.
The first step, depending on the level of the Allstate Insurance data scientist position, will be to apply online. Allstate will send you an email if you pass the initial screen and ask you to call a number with ten automated questions while they record your response to those questions.
These questions are mostly behavioral, but it can be unnerving to be speaking to an answering machine, so it helps to practice beforehand. A few of the general questions are about projects related to data science, salary expectations, programming languages, you know, etc.
Next up was a technical interview that took an hour. The technical screen consists of two problems: a problem-solving case question and a statistics and probability interview question.
The most common statistics and probability interview question will be around pulling jelly beans from a jar. Given an unknown number of jelly beans in a jar, if you select a jelly bean one at a time, how many rounds will it be until you pick two of the same color. What about when selecting N of the same color jelly beans?
Here’s a practice probability question called Raining in Seattle:
You are about to get on a plane to Seattle. You want to know if you should bring an umbrella. You call 3 random friends of yours who live there and ask each independently if it’s raining. Each of your friends has a 2⁄3 chance of telling you the truth and a 1⁄3 chance of messing with you by lying. All 3 friends tell you that “Yes” it is raining.
What is the probability that it’s actually raining in Seattle?
The case question will likely be about building a model for a transportation company. Allstate wants you to get to the bottom of what the major business questions are and describe a statistical model that would answer them. The case study presents real data, and they ask questions about how you would approach the modeling process. Understand imbalanced class classification, model evaluation, cross-validation, logistic regression, and more advanced machine learning techniques.
The Onsite Interview
The Allstate data scientist onsite interview will be structured with an interview panel of 4 different interviewers. The onsite will last around 4.5 hours long with a one-hour lunch in-between.
The data science onsite structure is broken down with:
There may be a thirty-minute job applicant-led presentation as well, depending on the seniority of the position. Expect lots of questions prying at how deep your mathematical understanding of machine learning models is. Also, be prepared for coding in Python and SQL and understand how to solve basic algorithms along with complex joins.
The Allstate data scientist interviewers mostly want you to communicate your thought process and understand that you should think of the overall method before jumping into details. In the business case study, remember to list fundamental questions about verbalizing the business objective, selecting variables, transforming them, what to do if you’re missing data, interpreting time series plots, and saying what they’d mean for how the variables behave and if there are red flags with the variables.
Some examples of data science interview questions asked at Allstate are:
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