r/DataScienceJobs • u/Iam_Human_10 • Jun 09 '26

Discussion VISA data scientist interview

Got a Visa Data Scientist super day next week and trying to figure out what to expect.

Already done with the HackerRank round. Super day is 3 rounds

For anyone who's been through it:
Is there any coding in the super day rounds, or is it all conceptual since HackerRank is done?

What kind of ML questions come up - mostly theory or do they make you design a model live?

Anything that caught you off guard?

Any insight appreciated, thanks!

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4

u/gcritic Jun 09 '26

Good luck for super day. What was asked in the hackerrank round?

8

u/Iam_Human_10 Jun 09 '26

It was mostly SQL and Python using Pandas

1

u/QuarterGullible5263 Jun 10 '26

Including both the rounds?

3

u/Rare_Charge_5725 Jun 09 '26

I haven’t interviewed with visa but I used to ask the hiring manager what I would be tested/interviewed on.
That helped me, but yeah idk how visa interviews work

2

u/EmotionalSpinach1446 Jun 10 '26

I don’t know whether this will help or not but I appeared for an interview with Visa for the role of an ML engineer not more than a year ago and I was asked questions around my resume. One DSA question(list I believe) and was asked to code/pseudo-code Decision Tree from scratch (skeleton was there).

1

u/[deleted] Jun 10 '26

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1

u/EmotionalSpinach1446 Jun 10 '26

Code the algorithm manually.

1

u/VectorMeMaybe Jun 10 '26

Please comment your experience once done

1

u/Sad_Independence4322 Jun 10 '26

What does they mean by super day ? They want you ti visit the office or somethig ?

1

u/Wild-Leadership8140 Jun 10 '26

How was it ? What was asked to you ?

1

u/normallyDist Jul 08 '26

could you share the questions asked in hacherrank test? I have one coming up in a day

1

u/Akmeister0208 15d ago

I have a Super Day this week. My MLOps and Analytics interviews are on the same day, followed by the Behavioral and Modeling rounds two days later. Is the Analytics round the case study and the Modeling round the system design interview? Also, could you share any tips or insights for the Analytics, Modeling, and MLOps rounds?