Data Science Trainee

Data Science Trainee Interview Questions and Answers

Updated 15 Jul 2025

Q. What are your salary expectations?

Ans.

I am looking for a competitive salary that reflects my skills and the industry standards for a Data Science Trainee.

  • Research industry standards: For example, entry-level data scientists in my region typically earn between $60,000 to $80,000.

  • Consider my skills: I have experience in Python, R, and machine learning, which may justify a higher starting salary.

  • Flexibility: I am open to discussing salary based on the overall compensation package, including benefits and growth oppor...read more

Q. What are the four types of SQL joins?

Ans.

SQL Joins are used to combine rows from two or more tables based on a related column between them.

  • INNER JOIN: Returns rows when there is at least one match in both tables.

  • LEFT JOIN: Returns all rows from the left table and the matched rows from the right table.

  • RIGHT JOIN: Returns all rows from the right table and the matched rows from the left table.

  • FULL JOIN: Returns rows when there is a match in one of the tables.

Q. What is a Python array?

Ans.

Python array is a data structure that stores a collection of elements of the same data type.

  • Python array is a mutable sequence type that can store elements of the same data type.

  • Arrays in Python are created using the 'array' module.

  • Example: arr = array('i', [1, 2, 3, 4, 5])

Q. Describe Supervised and unsupervised ML

Ans.

Supervised ML uses labeled data to train the model, while unsupervised ML finds patterns in unlabeled data.

  • Supervised ML requires labeled data for training and testing

  • Examples of supervised ML include classification and regression algorithms

  • Unsupervised ML finds patterns and relationships in unlabeled data

  • Examples of unsupervised ML include clustering and dimensionality reduction algorithms

Are these interview questions helpful?
4d ago

Q. Where do you live?

Ans.

I live in a vibrant city known for its rich culture, diverse communities, and beautiful parks, making it a great place to call home.

  • The city has a thriving arts scene, with numerous galleries and theaters showcasing local talent.

  • There are several parks and recreational areas, perfect for outdoor activities like jogging and picnicking.

  • The community is diverse, with a mix of cultures contributing to a variety of cuisines and festivals.

  • Public transportation is accessible, making...read more

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