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Voleon Data Scientist Interview Questions
& Process

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

Based on 15 interview experiences · FREE TO READ

2.5 Rounds average
Average Typical difficulty
26.7% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Voleon.

Showing 3 of 15
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Voleon

Data Scientist

Analytics · half a year ago

Lead Average Negative experience No offer 5 rounds
Interview process
Recruiter call Technical screen Onsite Panel Background check Offer
Interview formats
Coding Technical Behavioral

It was a lot of interviews, very thorough. Started with an initial interview, then 2 technical interviews, followed by 2 soft skill interviews focusing on project management and team management. The final interview was with the hiring manager. The tech interviews involved Python coding tasks, covering both algorithmic problems and practical data analysis and modeling. The practical part required a complete solution, from data preparation to finished model analysis, which was quite involved but doable within the given time. The soft skills interviews were fairly standard, usually combined into one, but here they were separate. I was told I was doing great throughout, but after all rounds, I waited a long time for a decision and was eventually declined.

Confirmed questions0 questions

No confirmed questions were included in this interview report.

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Voleon

Data Scientist

Analytics · a year ago

Senior Average Negative experience No offer 4 rounds
Interview process
Technical screen Technical screen Technical screen Technical screen
Interview formats
Coding Technical

It started with 3 hands-on technical interviews, and I'm not sure what new information the team was trying to get after multiple rounds. The last round was called strategy, but it was actually another hands-on coding round, which was a total disappointment. I'm never going to apply to this company again, as they don't seem to care about what a candidate is working on day-to-day or their skill sets. Instead, they conduct coding rounds in the world of Gen AI and market themselves as an advanced ML-using company.

Confirmed questions1 question
  • Could you complete a Pandas coding exercise using a given dataset?
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Voleon

Data Scientist

Analytics

Entry Difficult Positive experience Accept offer 1 round
Interview process
Technical screen
Interview formats
Technical Coding

The first round will take 75 mins and has two parts. First, you'll get a dataframe (or maybe you just need to join some) and do EDA on it. Then, run sm.OLS regression to get the p-value and R2 and talk about what they mean. It'd be great if you could also show all the regression assumptions and residual analysis. Second part is on the Linux Terminal. Make sure you know GREP, FIND, AWK, and so on. Always explain why you're writing the code you are. Good luck!

Confirmed questions2 questions
  • Can you explain outlier analysis using the IQR method?
  • What kind of join would you use to merge these dataframes?

Voleon Data Scientist Interview Questions

Quoted word for word from Voleon interview reports.

What kind of join would you use to merge these dataframes?

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Can you explain regression and optimization techniques, including a proof sketch?

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Could you complete a Pandas coding exercise using a given dataset?

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What makes you want to be a Data Scientist over a Software Engineer?

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Can you elaborate on the statistical theories involved?

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Formats, difficulty and experience

Across all 15 Voleon interview reports.

Interview formats

Coding 48.3%
Technical 31%
Behavioral 17.2%
Case 3.4%

Interview difficulty

Easy 6.7%
Average 46.7%
Difficult 46.7%

Candidate experience

Neutral 40%
Negative 33.3%
Positive 26.7%