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Fresh Gravity Data Scientist Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 7 interview experiences · FREE TO READ

2.1 Rounds average
Average Typical difficulty
57.1% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Fresh Gravity.

Showing 3 of 7
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Fresh Gravity

Data Scientist

Analytics · more than a year ago

Entry Difficult Positive experience Accept offer 1 round
Interview process
Technical screen
Interview formats
Coding

The interview process involved an algorithm question to check if two strings are anagrams. The steps included inputting two strings, creating an array for each, traversing both strings to count alphabets in their respective arrays, and then checking if the arrays are equal to return true or false.

Confirmed questions1 question
  • What is c and why is it used?
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Fresh Gravity

Data Scientist

Analytics · more than a year ago

Mid Easy Negative experience No offer 3 rounds
Interview process
Recruiter call Phone screen Background check
Interview formats
Behavioral Technical

The interview process had three stages: first an HR call, then a manager interview, and finally a cultural fit interview. While the initial stages were positive, the last one felt a bit strange. What I really disliked about the interview process and the company is their tendency to make you wait for a long time, giving you the impression that an offer is coming, only for you to find out later that another candidate accepted the position. My advice is to keep interviewing with other companies, especially those that are larger and more reputable, even while you're in this waiting period.

Confirmed questions1 question
  • Can you tell me what aspects of your current company you find unsatisfactory?
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Fresh Gravity

Data Scientist

Analytics

Senior Average Negative experience No offer 1 round
Interview process
Recruiter call Phone screen
Interview formats
Behavioral Technical

It was a telephonic interview. Worst experience. Completely wasted time and efforts. The interviewer himself was not knowledgeable. HR should take a note of this. Please do not waste people's valuable time.

Confirmed questions1 question
  • Can you describe a past data science project you were involved in?

Fresh Gravity Data Scientist Interview Questions

Quoted word for word from Fresh Gravity interview reports.

What is the difference between random forest and decision tree?

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Could you write a Python program to compute 'a' to the power of 'b' without using the ** operator?

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Can you explain the difference between the Random Forest algorithm and Logistic Regression?

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Could you describe a dataset where Random Forest would be applicable but Logistic Regression would not?

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Describe a previous data science project, detailing your role and specific contributions.

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Can you tell me what aspects of your current company you find unsatisfactory?

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Can you describe a past data science project you were involved in?

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Tell me about a past data science project, including your role and contributions.

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Formats, difficulty and experience

Across all 7 Fresh Gravity interview reports.

Interview formats

Technical 46.2%
Behavioral 38.5%
Coding 15.4%

Interview difficulty

Easy 28.6%
Average 57.1%
Difficult 14.3%

Candidate experience

Positive 57.1%
Negative 28.6%
Neutral 14.3%