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Yandex Data Scientist Interview Questions and Answers
Yandex Data Scientist Interview Experiences
1 interview found
Anonymous
Selected
I applied via Approached by Company and was interviewed before Sep 2023. There were 2 interview rounds.
(2 Questions)
- Q1. About my experience
- Q2. About salary expectations
(2 Questions)
- Q1. Decision trees algorithm explained
- Ans.
Decision trees algorithm is a popular machine learning technique used for classification and regression tasks.
Decision trees are a type of supervised learning algorithm that is used for both classification and regression tasks.
They work by recursively splitting the data into subsets based on the most significant attribute.
Each internal node represents a test on an attribute, each branch represents the outcome of the te...
- Q2. Linear regression algorithm explained
- Ans.
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
Linear regression finds the best-fitting straight line through the data points.
It is used to predict the value of the dependent variable based on the independent variable(s).
The equation of a simple linear regression model is y = mx + b, where y is the dependent variable, x is the ...
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I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.
Interview Questionnaire
2 Questions
- Q1. What is data science
- Ans.
Data science is the field of extracting insights and knowledge from data using various techniques and tools.
Data science involves collecting, cleaning, and analyzing data to extract insights.
It uses various techniques such as machine learning, statistical modeling, and data visualization.
Data science is used in various fields such as finance, healthcare, and marketing.
Examples of data science applications include fraud...
- Q2. What is phyton and R
- Ans.
Python and R are programming languages commonly used in data science and statistical analysis.
Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.
R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.
Both languages are popular choices for data scientists and hav...
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Skills evaluated in this interview
Interview Questionnaire
1 Question
- Q1. Please tell me something about yourself.What is your experience? What are your goals and ambitions?Why We should hire you? Strengths and weaknesses etc.
Selected
I applied via Company Website and was interviewed before Sep 2022. There were 2 interview rounds.
It was very stressful
(2 Questions)
- Q1. What will you do for the company in next 5 years
- Ans. Continuing and developing skills and knoweldge in order to be able to take on more responsiblity within the company
- Q2. Why should we hire you ?
- Ans. Because of my relevant skills and passion for this carrer
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2 DSA Codes were there with python
(1 Question)
- Q1. Explain your project
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(1 Question)
- Q1. Mostly related to Projects and JD
Interview Preparation Tips
45 mins.
questions based on basic string manipulation but not a straightforward task
I applied via LinkedIn and was interviewed in Aug 2024. There was 1 interview round.
(1 Question)
- Q1. Tell me about your project
- Ans.
Developed a machine learning model to predict customer churn for a telecom company
Used Python and scikit-learn for data preprocessing and model building
Performed feature engineering to improve model performance
Evaluated model using metrics like accuracy, precision, and recall
Implemented the model in a production environment for real-time predictions
Interview Questionnaire
2 Questions
- Q1. Three skills required to be a good data scientist?
- Q2. Answer: Curious , Extremely argumentative and judgemental
I applied via Naukri.com and was interviewed in May 2022. There were 3 interview rounds.
(1 Question)
- Q1. Normal Data Science questions
(1 Question)
- Q1. Salary discussion and HR related queries
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