Data Scientist Technical Interview Questions

Review this list of 7 technical data scientist interview questions and answers verified by hiring managers and candidates.

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Asked at Amazon, Meta (Facebook), LinkedIn + 1 more • a month ago
Implement k-means clustering.
Data Scientist
Technical
+5 more
2 answers I was asked this
"i dont know"
Dinesh K. - "i dont know"See full answer
Data Scientist
Technical
+5 more
Asked at Google, LendingClub, Nvidia + 1 more • 9 months ago
Explain Deep Learning to a non-technical audience.
Data Scientist
Technical
+3 more
4 answers I was asked this
+1
"Deep Learning is a part of Artificial Intelligence, it's like teaching the machine to think and make decisions on its own. It's like how we teach a child the concept of an apple - it's round, red, has a stem on top. We show them multiple pictures of apples and then they understand and can recognize an apple in future. Similarly, we feed lots of data to the machine, and slowly, it starts learning from that data, and can then make relevant predictions or decisions based on what it has learnt. A co"
Surbhi G. - "Deep Learning is a part of Artificial Intelligence, it's like teaching the machine to think and make decisions on its own. It's like how we teach a child the concept of an apple - it's round, red, has a stem on top. We show them multiple pictures of apples and then they understand and can recognize an apple in future. Similarly, we feed lots of data to the machine, and slowly, it starts learning from that data, and can then make relevant predictions or decisions based on what it has learnt. A co"See full answer
Data Scientist
Technical
+3 more
Asked at Tinder • 2 years ago
Tinder subscriptions renew monthly. Explain why different months may have different numbers of renewals.
Data Scientist
Technical
1 answer I was asked this
"Clarification question: How many subscription plans are offered by Tinder ? If there is more than one subscription plan, then we need to ask is the fluctuation happening across all plans or in a particular one ? Assumption: Let's say lower priced subscription plan is showing the most fluctuation and there are only two types of plans In this subscription plan which age group is showing the most fluctuation (18-24,25-30, 30+ etc) ? Is there any seasonality trend observed (eg: placemen"
Srijita P. - "Clarification question: How many subscription plans are offered by Tinder ? If there is more than one subscription plan, then we need to ask is the fluctuation happening across all plans or in a particular one ? Assumption: Let's say lower priced subscription plan is showing the most fluctuation and there are only two types of plans In this subscription plan which age group is showing the most fluctuation (18-24,25-30, 30+ etc) ? Is there any seasonality trend observed (eg: placemen"See full answer
Data Scientist
Technical
Asked at American Express • 7 months ago
What is the important mechanism that happens within Random Forest and what does bootstrapping do in this algorithm?
Data Scientist
Technical
Add answer I was asked this
Data Scientist
Technical
Asked at Apple, Citi • 2 months ago
Coin Change
IDE
Medium
Data Scientist
Technical
+3 more
9 answers I was asked this
+6
"The example given is wrong. The 2nd test case should have answer 3, as we can get to 6 by using 3 coins of denomination 2."
Anmol R. - "The example given is wrong. The 2nd test case should have answer 3, as we can get to 6 by using 3 coins of denomination 2."See full answer
Data Scientist
Technical
+3 more

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Asked at Tinder • 2 years ago
How do you deal with interference?
Data Scientist
Technical
1 answer I was asked this
"I would recognize the factors that are causing the interference. Then i will use tools like smoothing techniques or algorithms (e.g Kalman filters for time series) which can help isolate genuine trends from noise. In testing i would employ techniqu es like A/B testing to measure interference from unrelated factors and use techniques like regression analysis to seperate the relevant factors from noise."
Trusha M. - "I would recognize the factors that are causing the interference. Then i will use tools like smoothing techniques or algorithms (e.g Kalman filters for time series) which can help isolate genuine trends from noise. In testing i would employ techniqu es like A/B testing to measure interference from unrelated factors and use techniques like regression analysis to seperate the relevant factors from noise."See full answer
Data Scientist
Technical
Asked at Infosys • 3 years ago
Explain all kinds of OOP concepts in Python.
Data Scientist
Technical
1 answer I was asked this
"In Python, an "oops" (Object-Oriented Programming) concept refers to a programming paradigm that is based on the idea of objects and classes. OOP allows developers to model real-world concepts and create reusable code blocks through the use of inheritance, polymorphism, and encapsulation. Here are some common OOP concepts in Python: Class: A class is a blueprint for creating objects. It defines the attributes and behaviors that objects of that class will have. Object: An object is an insta"
Anonymous Flamingo - "In Python, an "oops" (Object-Oriented Programming) concept refers to a programming paradigm that is based on the idea of objects and classes. OOP allows developers to model real-world concepts and create reusable code blocks through the use of inheritance, polymorphism, and encapsulation. Here are some common OOP concepts in Python: Class: A class is a blueprint for creating objects. It defines the attributes and behaviors that objects of that class will have. Object: An object is an insta"See full answer
Data Scientist
Technical