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OnDeck Data Scientist Interview Questions
& Process

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

Based on 9 interview experiences · FREE TO READ

3 Rounds average
Easy Typical difficulty
33.3% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at OnDeck.

Showing 3 of 9
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OnDeck

Data Scientist

Analytics · more than a year ago

Mid Difficult Positive experience Accept offer 3 rounds
Interview process
Recruiter call Phone screen Onsite Background check Offer
Interview formats
Behavioral Technical Coding

I applied online and a recruiter got back to me really quickly. We had a brief call, and then they scheduled a 30-minute phone screen. That call focused on my background and skills, and included a question about tackling a specific big data challenge at OnDeck. After that, I was invited for a 4-hour on-site interview. It was well-organized with several interviews back-to-back, each with 1-2 people. These interviews covered company information and technical topics. Most interviewers were punctual, and I had short breaks. The only downside was waiting a few days to hear back, but it turned out to be good news, and the recruiter apologized as they were out of town.

Confirmed questions4 questions
  • Tell me about your background and skills, and how would you approach a specific "big data" problem faced by OnDeck?
  • Can you discuss some algorithm questions?
  • What about basic statistics?
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OnDeck

Data Scientist

Analytics

Entry Easy Negative experience No offer 4 rounds
Interview process
Take home Recruiter call Technical screen Onsite
Interview formats
Technical Coding Behavioral

I applied online and was initially given a take-home exercise. After submitting it and not hearing back for a month, I was informed I did very well on the exercise. This was followed by an HR interview, then a technical interview with a senior data scientist, and finally an onsite interview. Despite performing well throughout, I was later told I lacked sufficient industry experience. They had initially stated it was a junior data scientist role, and never asked about my professional experience, focusing only on my projects. I suspect they were looking for a reason to reject me. The company's senior and junior data scientists seem to lack strong backgrounds in statistics, mathematics, or computer science. The senior interviewer, for instance, had a Master's in Mechanical Engineering and wasn't particularly skilled in statistics or machine learning. I believe they were likely seeking a candidate with lower salary expectations. This was by far the worst and most unprofessional interview experience I've had.

Confirmed questions2 questions
  • Can you answer some basic questions about Python?
  • Could you write some basic SQL queries?
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OnDeck

Data Scientist

Analytics

Mid Average Positive experience Decline offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Technical Coding

The interview process was generally really good. I liked the team and the environment, and the recruiter was nice and helpful. The job sounded like a cool mix of software and data science. I actually found another opportunity that was a better fit for me while I was interviewing with OnDeck, but I would have been happy to work here. I wasn't super impressed with the company initially, but meeting the team definitely changed my mind as I progressed through the interviews.

Confirmed questions1 question
  • Can you find the largest palindrome within a very long string?

OnDeck Data Scientist Interview Questions

Quoted word for word from OnDeck interview reports.

Can you find the largest palindrome within a very long string?

Read reports

Tell me about your background and skills, and how would you approach a specific "big data" problem faced by OnDeck?

Read report

Formats, difficulty and experience

Across all 9 OnDeck interview reports.

Interview formats

Technical 33.3%
Behavioral 29.2%
Coding 25%
Presentation 8.3%
Other 4.2%

Interview difficulty

Easy 44.4%
Average 33.3%
Difficult 22.2%

Candidate experience

Negative 66.7%
Positive 33.3%