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Mutual of Omaha Data Scientist Interview Questions
& Process

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

Based on 6 interview experiences · FREE TO READ

2 Rounds average
Average Typical difficulty
33.3% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Mutual of Omaha.

Showing 3 of 6
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Mutual of Omaha

Data Science Intern

Analytics · a year ago

Intern Average Neutral experience No offer 2 rounds
Interview process
Technical screen Phone screen Recruiter call Offer
Interview formats
Technical Behavioral

I interviewed with two people from the team, then with the manager. I felt I did alright in the last interview, but they didn't give me an offer. I never heard back after sending follow-up emails.

Confirmed questions1 question
  • Can you explain the Difference of Difference?
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Mutual of Omaha

Data Scientist

Analytics · a year ago

Entry Average Negative experience Decline offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Behavioral Technical

it was a brief intro chat they skipped the greeting then went over our resumes and asked questions about their specific group problem which was bad bc they dont even know stats

Confirmed questions1 question
  • What skills do you use for casual inference?
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Mutual of Omaha

Data Science Intern

Analytics · more than a year ago

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

First there was a quick and simple HR call. Then, there was a 45 min interview with two interviewers, one data scientist and one data engineer. The interview was very pleasant, they were really chill and gave me time to think and smiled often.

Confirmed questions7 questions
  • Could you walk me through your NLP project from start to finish?
  • Can you explain a machine learning model you're familiar with?
  • What's the criteria for selecting a node in a Random Forest?

Mutual of Omaha Data Scientist Interview Questions

Quoted word for word from Mutual of Omaha interview reports.

What are the differences and similarities between Convolutional Neural Networks and Multi-Layer Perceptrons?

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What's the criteria for selecting a node in a Random Forest?

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Can you explain the difference between random forest and gradient boosting?

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Can you explain a machine learning model you're familiar with?

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Formats, difficulty and experience

Across all 6 Mutual of Omaha interview reports.

Interview formats

Technical 46.2%
Behavioral 46.2%
Coding 7.7%

Interview difficulty

Easy 16.7%
Average 83.3%
Difficult 0%

Candidate experience

Neutral 50%
Negative 16.7%
Positive 33.3%