Sigmoid Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 28 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Sigmoid.
Sigmoid
Data Scientist Intern
Intern Difficult Positive experience Accept offer 3 rounds
Interview process
Take home Technical screen Phone screen
Interview formats
Coding Technical Behavioral
The interview process started with an online test that included a mix of aptitude and python coding questions. This was followed by a technical interview focusing on machine learning concepts, live SQL coding, and some quesstimates. Finally, there was an HR interview, which was more managerial and straightforward.
Confirmed questions1 question
- Could you explain the F beta score and its use case?
Sigmoid
Data Scientist
Mid Average Positive experience No offer 3 rounds
Interview process
Technical screen Onsite Recruiter call
Interview formats
Technical Case Behavioral Coding
So, there were 3 rounds total. First was a technical interview where they asked about my projects. Then there was a second round which was a case study and overall fitment, and finally, an HR round with behavioral questions. It felt like a medium-level interview and there were some programming questions too.
Confirmed questions3 questions
- Could you tell me about machine learning concepts?
- Can you discuss your past projects?
- Tell me about programming questions you were asked.
Sigmoid
Senior Data Scientist
Senior Average Negative experience No offer 2 rounds
Interview process
Technical screen Onsite
Interview formats
Technical Case Presentation
The interview process involved a technical interview, followed by a case study and discussion. It covered ML concepts. We started with an initial exploratory discussion, then moved to a case study (a classification problem), and finally explained the concepts used in the case study. It should be straightforward for someone with substantial Data Science experience. The main difficulty I perceived is their adherence to a specific answer, expecting your solution to align perfectly. The interviewers seemed less experienced, and I, having conducted over 50 interviews myself, found them uninterested in hearing my perspectives. Overall, it was a disappointing experience.
Confirmed questions7 questions
- Can you explain the difference between word transformers and sentence transformers?
- Could you answer some scenario-based questions?
- Under what circumstances would you choose F1 Score, Precision, or Recall Score?
Sigmoid Data Scientist Interview Questions
Quoted word for word from Sigmoid interview reports.
“What is the VGG 16 architecture?”
Read reports →“Is it true that SMOTE can also increase the sample size of your test data?”
Read reports →“For a 25 horse race where you can only race 5 at a time, what is the minimum number of races required to determine the fastest 3 horses?”
Read reports →“Should clustering be performed before or after the train-test split?”
Read reports →“What is the distinction between precision and recall?”
Read report →“Can you explain the difference between word transformers and sentence transformers?”
Read report →“Is it possible to build non-linear models with logistic regression?”
Read report →“If you transform a variable and use it in a model, statisticians call the transformed variable a feature, and logit is linear to the feature, right?”
Read report →“When is it appropriate to use class weights versus oversampling or undersampling techniques?”
Read report →Formats, difficulty and experience
Across all 28 Sigmoid interview reports.