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In the second half of the interview, I was asked to design a recommendation system for confluence, to recommend articles. NOTE: They say that they ask system design question according to the resume or our previous experience, but I havent worked on a recommendation system previously. So it might be a question based on the teams requirement. The interviewer mentioned that he has experience working on recommendation and it is his field of expertise.
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Senior Data Scientist, Machine learning

Interviewed at Atlassian

3.2★
May 1, 2025

In the second half of the interview, I was asked to design a recommendation system for confluence, to recommend articles. NOTE: They say that they ask system design question according to the resume or our previous experience, but I havent worked on a recommendation system previously. So it might be a question based on the teams requirement. The interviewer mentioned that he has experience working on recommendation and it is his field of expertise.

- Diagram a solution for a multi-modal document prediction task. - Explain overfitting in the context of various algorithms (SVM, random forest, neural network) and techniques to mitigate it (very technical on the details) - Explain how you would deal with class imbalance or other sources of bias in a training data set (again, very technical on the details) - Explain how you would use a Docker container to make a deployable machine learning service using Kubernetes (wanted many devops details). - Have you used a pipeline automation tool like Luigi? Have you used monitoring tools like PagerDuty?
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Senior Data Scientist

Interviewed at DigitalOcean

3.4★
May 22, 2018

- Diagram a solution for a multi-modal document prediction task. - Explain overfitting in the context of various algorithms (SVM, random forest, neural network) and techniques to mitigate it (very technical on the details) - Explain how you would deal with class imbalance or other sources of bias in a training data set (again, very technical on the details) - Explain how you would use a Docker container to make a deployable machine learning service using Kubernetes (wanted many devops details). - Have you used a pipeline automation tool like Luigi? Have you used monitoring tools like PagerDuty?

1. How is word transformers different from Sentence transformers. 2. Scenario based questions. 3. When to use F1 Score, Precision, Recall Score 4. Clustering before train test split or after train test split. 5. I was surprised on this question. Do SMOTE increase your test data sample size as well 6. Scaling - MinMax, Standard and Robust Scaler 7. When to use class weights and oversampling/Undersampling ( No one can get it right at the first time). I wont recommend for someone who has good experience in Data Science. In my decade of taking/giving data Science interviews, this has to be rated as my worst experience.
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Senior Lead Data Scientist

Interviewed at Sigmoid

4★
Jul 1, 2024

1. How is word transformers different from Sentence transformers. 2. Scenario based questions. 3. When to use F1 Score, Precision, Recall Score 4. Clustering before train test split or after train test split. 5. I was surprised on this question. Do SMOTE increase your test data sample size as well 6. Scaling - MinMax, Standard and Robust Scaler 7. When to use class weights and oversampling/Undersampling ( No one can get it right at the first time). I wont recommend for someone who has good experience in Data Science. In my decade of taking/giving data Science interviews, this has to be rated as my worst experience.

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