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Celebal Technologies Data Scientist Interview Questions
& Process

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

Based on 61 interview experiences · FREE TO READ

2.6 Rounds average
Average Typical difficulty
65.6% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Celebal Technologies.

Showing 3 of 61
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Celebal Technologies

Data Science Engineer

Engineering · nearly a year ago

Entry Average Positive experience Accept offer 5 rounds
Interview process
Take home Technical screen Technical screen Background check Offer
Interview formats
Coding Technical Case Behavioral

So, for Data Science Engineer at Celebal Technologies, first they check your resume. If it's good, you get an online assessment or a Kaggle-like task. This tests your Python, SQL, ML knowledge, and if you can actually solve problems. After that, there are usually one or two tech interviews. They'll grill you on ML algorithms, how to measure models, preparing data, stats, and really dig into your past projects to see if you know your stuff and how you applied it. Sometimes they throw in a live coding or case study too. Finally, there's an HR chat to see if you fit in, what your goals are, and what you expect salary-wise.

Confirmed questions1 question
  • Can you explain AI and Machine learning theory and provide some basic code examples?
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Celebal Technologies

Data Science Intern

Analytics · nearly a year ago

Intern Average Neutral experience No offer 3 rounds
Interview process
Technical screen Technical screen Onsite
Interview formats
Technical Coding

The Celebal hiring drive for the Anaverse role was a full day process that started with one technical assessment, followed by two in depth technical interview rounds that included live Python coding, and concluded with a final one hour discussion round focused on problem solving approach, technical understanding, and overall fit.

Confirmed questions0 questions

No confirmed questions were included in this interview report.

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Celebal Technologies

Data Scientist

Analytics · nearly a year ago

Mid Average Negative experience No offer 3 rounds
Interview process
Technical screen Onsite Recruiter call
Interview formats
Technical Behavioral

I interviewed with Celebal, and it took about a month. There were three technical rounds: two virtual and one in-person with the manager. The interviews went fine, and the manager seemed happy. When I asked for an update, HR kept saying things were still going on. Then they just stopped replying. They could have just told me if I wasn't chosen. Ghosting is bad.

Confirmed questions1 question
  • Were there questions related to your resume?

Celebal Technologies Data Scientist Interview Questions

Quoted word for word from Celebal Technologies interview reports.

What distinguishes a decision tree from a random forest, and how does each operate?

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What algorithm is used for training ANNs and how is the training performed?

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Is it possible to use ANNs for unsupervised learning, and if so, how would that be implemented?

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Can you explain the difference between multiclass and multilabel classification in machine learning?

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Given the coordinates of three vertices of a triangle, determine the largest angle. The formula for calculating an angle was supplied, and I needed to figure out how to compute the lengths of the triangle's sides.

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Can you explain the distinction between multilabel and multiclass classification?

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Could you describe the student’s t distribution and the gaussian distribution?

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Can you explain what Gradient Descent is and its purpose?

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What are some examples of ensemble classification techniques in ML and how do they work?

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Formats, difficulty and experience

Across all 61 Celebal Technologies interview reports.

Interview formats

Technical 43.9%
Coding 27.7%
Behavioral 22.3%
Case 2%
Group 1.4%

Interview difficulty

Easy 9.8%
Average 80.3%
Difficult 9.8%

Candidate experience

Positive 65.6%
Negative 11.5%
Neutral 23%