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State Farm Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 3,032 interview experiences · FREE TO READ

2.1 Rounds average
Average Typical difficulty
69.6% Positive experience

Which role are you interviewing for?

30 roles · 3,032 reports

Candidate interview experiences

First-hand accounts from people who interviewed at State Farm.

Showing 4 of 3,032
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Front Desk Receptionist

Operations · half a year ago

Entry Easy Positive experience No offer 1 round
Interview process
Recruiter call
Interview formats
Behavioral

They asked me 5 simple questions. They wanted to know why I was interested in the position, my computer skills on a scale of 1-10, and my customer service skills on a scale of 1-10. I was also asked to describe myself in one word and what salary I was expecting.

Confirmed questions5 questions
  • Why are you interested in this role?
  • How would you rate your computer skills on a scale of 1 to 10?
  • On a scale of 1 to 10, how would you rate your customer service skills?
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State Farm

Customer Support Representative

Operations · half a year ago

Entry Average Positive experience Accept offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Behavioral Technical

it was good sometimes very hard to answer because more questions was about your experience and problem solving and skill on how to manage customer interactions data driven , customer centric . Security privacy of a customer . Interlation with other companies

Confirmed questions7 questions
  • Can you tell us more about your background?
  • What relevant experience do you have?
  • How do you approach problem-solving?
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State Farm

Marketing Specialist

Marketing · nearly a year ago

Entry Average Negative experience No offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Behavioral Technical

The interview happened on HireView, a video platform. It wasn't a personal interview, which I don't think is great for professional jobs. Maybe it's okay for entry-level or intern roles, but it doesn't really let you consider experienced candidates properly.

Confirmed questions4 questions
  • Can you tell me about your background and experience?
  • Describe a challenge you've encountered.
  • How do you demonstrate your ability to collaborate and work within a team?
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State Farm

Account Manager

Sales · nearly a year ago

Mid Average Positive experience No offer 5 rounds
Interview process
Recruiter call Phone screen Technical screen Onsite Panel Offer
Interview formats
Behavioral Case Presentation

So, the interview process for an Account Manager usually kicks off with a review of your resume. Then there's a quick phone chat to go over your background and why you're keen on the job. If that goes well, you'll have a first interview where they'll check out your client management skills, sales chops, and how you solve problems. Sometimes, they'll throw in a case study or a practical exercise to see your account management skills in action. The final chat is usually with higher-ups to gauge your strategic thinking, how well you'd fit in, and your leadership potential. After all that, they'll make an offer and you can negotiate.

Confirmed questions1 question
  • What motivates you to seek this particular position?

State Farm Interview Questions

Quoted word for word from State Farm interview reports.

If a logistic regression model's top feature from a random forest selection wasn't statistically significant, what are at least two possible reasons for this?

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If a data scientist built a logistic regression model using the top 20 features identified by a random forest, and the leading feature turned out not to be statistically significant in the logistic regression, what are at least two potential explanations for this result?

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Can you explain multicollinearity, its impact on a model, how to measure it, and at what point it becomes a concern?

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When building a classification model with imbalanced data, what are two methods to address this imbalance, and can you explain how each works?

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Can you explain gradient boosted logistic regression, specifically detailing the algorithm and any process deviations for implementation?

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Suppose you're building a classification model and find the dependent variable is highly imbalanced during your initial data exploration. What are two techniques you could employ to handle this, and how do they work?

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On a scale of 1 to 10, how would you rate your positivity?

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After deploying a binary classification model for 12 months, what steps would you take to validate its performance? What advice would you give your business partner if the model is still performing well versus if it has deteriorated?

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Could you explain the four main principles of Object-Oriented Programming and illustrate each with a practical example?

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Formats, difficulty and experience

Across all 3,032 State Farm interview reports.

Interview formats

Behavioral 53.3%
Technical 27%
Other 8.7%
Coding 4.7%
Presentation 3.5%

Interview difficulty

Easy 29.5%
Average 59.5%
Difficult 11%

Candidate experience

Positive 69.6%
Neutral 18.3%
Negative 12.1%

Reports by job function

Operations 1,171
Sales 658
Engineering 397
Other 261
Analytics 197
Finance 192