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Candidate-reported interview insights

Affine Data Scientist interviews, decoded.

Explore commonly reported questions, interview rounds, difficulty, duration, and candidate experiences for the Data Scientist role at Affine.

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Interview overview

Difficulty

Average

Average rounds

2.4

Average duration

~44 days

Difficulty and candidate experience

Interview difficulty

easy18.2%
average72.7%
difficult9.1%

Candidate experience

positive72.7%
negative18.2%
neutral9.1%

Candidate-reported interview process

After my resume got shortlisted, there were 3 rounds. The first was a technical assessment, followed by two interviews. A Team Lead conducted the first interview, and the second interview was with the manager. Overall, it was a good experience, and the entire process was completed in under 15 working days.

First, they looked at resumes to see who fits the job. Then, there were three technical interviews, Technical L1, L2, and L3, with engineers to check technical skills, getting harder as you go up. Lastly, an HR Round to check soft skills and if you're a good fit.

It was a technical round with coding and theoretical questions. They asked about my project, Machine Learning, and specific algorithms like Linear regression, logistic regression, random forest, decision tree, Gradient boosting, and XGBoost in detail. Also, questions on Recall, precision, roc_curve, Auc, f1 score, mse, mae, r2, adjusted r2 score.

Common Affine Data Scientist interview questions

A focused selection of the most detailed candidate-submitted questions.

  1. 1

    What are the 5 assumptions of linear regression?

  2. 2

    Why data should be stationary for time series

  3. 3

    What are Artificial Neural Networks (ANN)?

  4. 4

    What are Recurrent Neural Networks (RNN)?

Interview question formats

Technical42.9%
Coding25%
Behavioral17.9%
Case10.7%
Other3.6%

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Interview information is based on candidate reports and may not represent the current official hiring process of Affine.