Add office photos
Filter interviews by
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 ...
Interview Preparation Tips
Skills evaluated in this interview
Interview questions from similar companies
I applied via Job Portal and was interviewed in Nov 2024. There were 3 interview rounds.
SQL and Python coding test
(2 Questions)
- Q1. Bagging vs Boosting
- Q2. Overfitting and Underfitting in GBDT
(2 Questions)
- Q1. Questions on Recent project
- Q2. Deep Learning vs classical ML
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. What do you know about Uber?
- Q2. Went over my current role
Namitha Cherian
I applied via Referral and was interviewed before Oct 2023. There were 2 interview rounds.
(1 Question)
- Q1. Explain past projects
(1 Question)
- Q1. Explain resume points
- Ans.
Resume points are concise descriptions of your work experience, skills, and achievements listed on your resume.
Resume points should be clear, specific, and quantifiable.
Use action verbs to start each point, such as 'developed', 'implemented', 'analyzed'.
Include relevant metrics or results to demonstrate impact, such as 'increased sales by 20%' or 'reduced processing time by 30%'.
SQL - shared question on the screen and asked to code in SQL
(1 Question)
- Q1. Nth highes salary
Atmuri Ganesh
I applied via Recruitment Consulltant and was interviewed in Jun 2022. There were 2 interview rounds.
(2 Questions)
- Q1. Write a SQL query to find all duplicate emails in a table named person
- Ans.
SQL query to find duplicate emails in a table named person
Use GROUP BY and HAVING clause to group emails and count their occurrences
Select only those emails which have count greater than 1
Example: SELECT email, COUNT(*) FROM person GROUP BY email HAVING COUNT(*) > 1;
- Q2. Given a weather table, write a sql query to find all date's ids with higher temperature compared to it's previous dates
- Ans.
SQL query to find date ids with higher temperature compared to previous dates in weather table
Use self join to compare temperature of current date with previous dates
Order the table by date to ensure correct comparison
Select date ids where temperature is higher than previous dates
Interview Preparation Tips
Skills evaluated in this interview
I applied via Campus Placement and was interviewed in Oct 2023. There was 1 interview round.
(1 Question)
- Q1. Ask 4 programming question 1)prime in range ,2)Matrix multiplication,3)Spiral Matrix 4)separte vowels from string
Interview Preparation Tips
- Java
- SQL
Jayanti Gautam
(1 Question)
- Q1. Explain bagging vs boosting
- Ans.
Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models.
Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and then combining their predictions through averaging or voting.
Boosting involves training multiple models sequentially, where each subsequent model corrects the errors made by the previ...
How to judge if the comment is actually describing a product
Yandex Interview FAQs
Tell us how to improve this page.
Yandex Interviews By Designations
- Yandex Analyst Developer Interview Questions
- Yandex Data Scientist Interview Questions
- Yandex Intern Interview Questions
- Yandex Mechanical Designer Interview Questions
- Yandex Mechanical Engg. Design Interview Questions
- Yandex QA QC Engineer Interview Questions
- Yandex Software Developer Interview Questions
- Yandex Software Engineer Interview Questions
- Show more
Interview Questions for Popular Designations
- Senior Data Scientist Interview Questions
- Decision Scientist Interview Questions
- Jr. Data Scientist Interview Questions
- Associate Data Scientist Interview Questions
- Data Scientist Intern Interview Questions
- Lead Data Scientist Interview Questions
- Trainee Decision Scientist Interview Questions
- Research Scientist Interview Questions
- Show more
Data Scientist Interview Questions from Similar Companies
Alibaba Group
Tencent
Infosys
Calculate your in-hand salary
- Home >
- Interviews >
- Yandex Interview Questions >
- Yandex Data Scientist Interview Questions
