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Scribie Data Scientist Interview Questions and Answers
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Interview questions from similar companies
Anubhav Kesari
(3 Questions)
- Q1. Questions on Past Project
- Q2. SQL Dense Rank - also having the option to do in Pandas
- Q3. Pandas groupby on a dataset given - required to calculate group wise yoy rate of a column
(2 Questions)
- Q1. Past project ( which he chose , he chose my very first project , which I had forgotten) so ended up screwing it
- Q2. SQL / Pyspark question - difficult question
Anonymous
I applied via Referral and was interviewed in Nov 2024. There was 1 interview round.
(2 Questions)
- Q1. SQL and pandas coding
- Q2. Resume projects deep dive
Interview Preparation Tips
Business Related case study, signed NDA
(2 Questions)
- Q1. Count number of Parameters in BERT
- Q2. 3 sum array problem
Interview Preparation Tips
(2 Questions)
- Q1. Tell me about your projects?
- Q2. How do you approach the project if you are using logistic regression model?
- Ans.
Approach involves data preprocessing, model training, evaluation, and interpretation.
Perform data preprocessing such as handling missing values, encoding categorical variables, and scaling features.
Split the data into training and testing sets.
Train the logistic regression model on the training data.
Evaluate the model using metrics like accuracy, precision, recall, and F1 score.
Interpret the model coefficients to under...
(2 Questions)
- Q1. What are you future goals?
- Q2. What would you do if your interested field doesnt have any work in the company?
- Ans.
I would seek opportunities to apply my skills in related fields within the company.
Explore other departments or teams within the company that may have projects related to my field of interest
Offer to collaborate with colleagues in different departments to bring a new perspective to their projects
Seek out professional development opportunities to expand my skills and knowledge in related areas
Skills evaluated in this interview
I applied via campus placement at Institute of Technology, Banaras Hindu University and was interviewed in Sep 2024. There was 1 interview round.
(2 Questions)
- Q1. Explain all of decision tree and random forest?
- Ans.
Decision tree is a tree-like model of decisions and their possible consequences, while random forest is an ensemble learning method that builds multiple decision trees and merges them together.
Decision tree is a flowchart-like structure where each internal node represents a decision based on an attribute, each branch represents the outcome of the decision, and each leaf node represents a class label.
Random forest is a ...
- Q2. Some basic probability questions
Interview Preparation Tips
Skills evaluated in this interview
(2 Questions)
- Q1. Basic Recommendation System Questions
- Q2. A B Testing Questions
Questions related to basic coding were asked, and some background on projects and discussions alongside maths and statistics concepts
(1 Question)
- Q1. Questions related to projects done at my previous company
(2 Questions)
- Q1. Questions related to my work at previous company
- Q2. ML system design use case type of discussion
Interview Preparation Tips
Also practice some level of basic PyTorch stuff and specially Bert architecture (in terms of code)
I applied via Company Website and was interviewed in Jan 2024. There were 2 interview rounds.
(1 Question)
- Q1. Transformer models.
Related to Mathematical intuition in Deep learning.
I applied via Referral and was interviewed in Sep 2023. There was 1 interview round.
(1 Question)
- Q1. Asked firstly some question over my resume then 2 case study type problems where i have to improve the recommdation system for zomato, and finally one coding question based on two pointer
Case study design oka6y
(2 Questions)
- Q1. Case study explain
- Q2. Ml concept advance
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