
MathCo Associate Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 23 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at MathCo.
Associate
We started with a tech test in Python and SQL. Then there were two tech discussions about past projects, where they asked some case studies. They also gave a problem statement and asked how I would solve it. The last round was a managerial round where they asked about work-life balance, client interactions, and then we talked about salary.
- Questions about resume, SQL, and Python.
- SQL questions.
- Python questions.
Senior Associate
the interview process was smooth and easy. It was in 3-4 rounds. 1 round was screening where 12 questions were there 4 sql, 4 python, 1 pandas, 3 data structure 2 round was technical round where they ask about the ml algo used and their error metrics 3 round was more fit round where they check behaviour and fit for their company.
- What machine learning algorithms have you used and what are their error metrics?
Associate
The interview process has 3 rounds. First is a technical round, second is a technical managerial round, and the third is an HR round. They will discuss your technical skills and projects you have worked on. They will ask about the skills listed on your resume, coding abilities, and other related topics.
- Tell me about your profile.
- Can you elaborate on your technical skills?
- Describe the projects you have worked on.
MathCo Associate Interview Questions
Quoted word for word from MathCo interview reports.
“Could you write an SQL query to divide the sum of two columns?”
Read reports →“What are the key evaluation metrics for classification tasks?”
Read reports →“Can you tell me about strings in Python?”
Read reports →“How would you go about reversing a 2D array?”
Read reports →“Can you explain what an imbalanced data set is?”
Read report →“What metric would you use to evaluate your prediction in the context of an imbalanced dataset?”
Read report →“Can you explain the differences between Bagging and Boosting, providing examples?”
Read report →“Regarding a given dataset, how would you address multicollinearity?”
Read report →“What are your thoughts on linked lists?”
Read report →Formats, difficulty and experience
Across all 23 MathCo interview reports.