Carelon Global Solutions Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 6 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Carelon Global Solutions.
Carelon Global Solutions
Data Scientist
Entry Average Positive experience Accept offer 4 rounds
Interview process
Recruiter call Take home Technical screen Onsite Background check Offer
Interview formats
Technical Coding Behavioral
It was part of college placements. There were 2 rounds plus an online test. The online test had MCQs on data science and Python, along with 2 coding questions. The first interview was a technical round where they asked about SQL, machine learning, and Python. The second round was a mix of technical and HR, covering my thesis and project work, a real-life scenario, and shift flexibility.
Confirmed questions2 questions
- Could you write a SQL query to find the names of employees who started on a particular date?
- Could you write a SQL query to find the names of employees who started on a particular date?
Carelon Global Solutions
Data Scientist
Mid Average Negative experience No offer 2 rounds
Interview process
Phone screen Technical screen
Interview formats
Technical Coding Presentation
it was good but they could have made it better. they started with a telephone screening and then technical rounds where they checked my ml/dl knowledge, python programming skills (numpy, pandas), and then I had to explain some models.
Confirmed questions5 questions
- Can you tell me about the projects you've worked on?
- What are the differences between logistic regression and SVM for classification models?
- Can you explain how Linear SVC works?
Carelon Global Solutions
Data Scientist Intern
Intern Average Negative experience Decline offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Technical Other
The interviewer did not ask any questions related to the role. Questions were random. A few of my batchmates who applied for the same role were asked questions on web development and UX design.
Confirmed questions1 question
- Can you explain alpha beta pruning in the context of minmax game search?
Carelon Global Solutions Data Scientist Interview Questions
Quoted word for word from Carelon Global Solutions interview reports.
“What are the differences between logistic regression and SVM for classification models?”
Read reports →“Can you explain alpha beta pruning in the context of minmax game search?”
Read reports →“Could you write a SQL query to find the names of employees who started on a particular date?”
Read reports →“Can you explain how Linear SVC works?”
Read reports →“Could you explain some deep learning techniques?”
Read report →“Can you discuss deployment strategies for machine learning models?”
Read report →“What model evaluation metrics have you used?”
Read report →“What are your thoughts on ML productionization?”
Read report →“Can you tell me about the projects on your resume?”
Read report →Formats, difficulty and experience
Across all 6 Carelon Global Solutions interview reports.