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Netflix Data Scientist Interview Questions and Answers
Netflix Data Scientist Interview Experiences
1 interview found
Anonymous
Selected
I applied via Referral and was interviewed in Aug 2024. There were 3 interview rounds.
You must work through a licensed agent, producer, attorney, manager, or industry executive, as appropriate, who already has a relationship with Netflix.
A factual group discussion is a formal discussion where participants exchange information and facts on a particular topic. The discussion focuses on presenting and analyzing objective data and information rather than subjective opinions or personal experiences.
Done to measure people's attitudes
Interview Preparation Tips
Interview questions from similar companies
I applied via Referral and was interviewed in Jun 2024. There were 2 interview rounds.
The assessment consists of a dataset for which we are required to build a machine learning model and submit the results along with code and detailed documentation
(3 Questions)
- Q1. What are ensemble models
- Ans.
Ensemble models are machine learning models that combine multiple individual models to improve predictive performance.
Ensemble models work by aggregating predictions from multiple models to make a final prediction.
Common types of ensemble models include Random Forest, Gradient Boosting, and AdaBoost.
Ensemble models are often more accurate and robust than individual models.
They can reduce overfitting and increase genera...
- Q2. Difference between bagging and boosting
- Ans.
Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models by combining multiple weak learners.
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 c...
- Q3. A lot of tree based questions
Skills evaluated in this interview
I applied via Indeed and was interviewed before Jun 2019. There were 4 interview rounds.
Interview Questionnaire
3 Questions
- Q1. Business problems and case studies
- Q2. Guesstimates
- Q3. Experience to date
- Ans.
I have 3 years of experience working as a Data Analyst in the finance industry.
Analyzed financial data to identify trends and make recommendations
Created reports and dashboards using tools like Tableau and Excel
Collaborated with cross-functional teams to improve data quality and accuracy
Interview Preparation Tips
Basic aptitude,sql ques
Visualizing the dataset information
Selected
I applied via Referral and was interviewed before Mar 2023. There were 3 interview rounds.
50 question with gk and reasoning mcq
(1 Question)
- Q1. Introduction and prior exp
(1 Question)
- Q1. Question about escalastions and ptoblem sovling
Interview Preparation Tips
I applied via LinkedIn and was interviewed before Aug 2021. There were 2 interview rounds.
(4 Questions)
- Q1. Advance Excel (Vlookup, Index, Countifs, sumifs and others)
- Q2. Python Basics (data frame, data types, lamda, series etc)
- Q3. SQL Functions (joins, limits, partitions, orders by and group by)
- Q4. 3rd round was managerial round, where mostly non-technicial questions asked.
Interview Preparation Tips
Selected
I applied via Campus Placement and was interviewed before Jan 2022. There were 2 interview rounds.
(2 Questions)
- Q1. Tell me about yourself
- Q2. Internship Experience
Interview Preparation Tips
I applied via LinkedIn and was interviewed in Mar 2023. There were 3 interview rounds.
(1 Question)
- Q1. Excel and SQL based questions
(1 Question)
- Q1. Python and project based questions
Interview Preparation Tips
Utter disregard for a candidate's time and work. The humiliating level of such degraded professionalism that they cannot decide before posting an interview that they don't want to hire.
But they have the audacity to expect 7 days and open-ended work schedule from the candidates.
DO NOT APPLY.
Neelesh Pandey
(2 Questions)
- Q1. Tell me about yourself
- Q2. Some technical questions
Selected
I applied via LinkedIn and was interviewed before Feb 2022. There were 3 interview rounds.
(2 Questions)
- Q1. Tell me something about yourself and your past experience if any
- Q2. Introduce yourself and tell them briefly your achievements
(2 Questions)
- Q1. Growth Opportunities and Last CTC
- Q2. Wait them to pitch the salary then say your expectations as per market standards.
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Netflix Data Scientist Interview Process
based on 1 interview
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