Chegg Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 29 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Chegg.
Chegg
Data Scientist
Mid Average Positive experience Accept offer 2 rounds
Interview process
Technical screen Technical screen
Interview formats
Technical Coding Technical
First, there were some online MCQ questions about Data Science. After that, an interview was conducted where they asked about Python, probability, and my personal project. The difficulty of the tasks was average. You really just need to pass the online test, which can be a bit tricky.
Confirmed questions2 questions
- How would you reverse a list in Python?
- A simple probability question was asked.
Chegg
Data Scientist
Entry Average Negative experience No offer 3 rounds
Interview process
Phone screen Technical screen Onsite
Interview formats
Technical Behavioral
The interview process included three phone interview rounds with a data scientist, the hiring manager, and a technical interview. After these rounds went well, I was invited for an onsite interview. During the onsite, the hiring manager told HR that I was not a senior-level data scientist but a junior, even though I was told the position was for a junior. The hiring manager asked similar questions to the phone interview and I gave similar answers/examples. She also asked how I would solve a current problem they are working on. These types of questions could be asked during the phone interview to screen candidates out. It seems unprofessional but common based on other reviews.
Confirmed questions2 questions
- Can you tell me about a project you worked on and its challenges?
- How would you approach solving a specific problem we are currently facing?
Chegg
Data Scientist
Mid Average Neutral experience No offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Behavioral Technical Coding
I had an initial phone screen with the director of data science and a recruiter. It was friendly but pretty detached. They offered next steps at the end, which was a 45-minute technical screen with someone via video and collab doc. This involved SQL, Python, and a conceptual question about feature engineering. I didn't make it to the third step.
Confirmed questions4 questions
- Tell me about your familiarity with Chegg.
- Given Chegg's platform for matching students and tutors, how would you approach matching them based on factors like subjects, tutor availability, and response rates?
- What strategies would you use to attract new students and encourage them to become regular users?
Chegg Data Scientist Interview Questions
Quoted word for word from Chegg interview reports.
“How would you reverse a list in Python?”
Read reports →“What data types can be stored in a Java array?”
Read reports →“Can you explain what a histogram is?”
Read reports →“Between kNN and a decision tree, which model would you prefer to use?”
Read reports →“How would you approach a classification problem when there are thousands or even more classes?”
Read report →“Can you explain Parameter-Efficient Fine-Tuning and list some PEFT methods you're familiar with?”
Read report →“What are some basic questions related to statistics?”
Read report →“What is your approach to emailing your manager when you've missed a deadline?”
Read report →“What are some basic questions related to Algorithm?”
Read report →Formats, difficulty and experience
Across all 29 Chegg interview reports.