MathCo Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 54 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at MathCo.
MathCo
Data Scientist
Senior Easy Neutral experience Accept offer 3 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Technical Coding Other
The interview process was smooth and interesting. It involved discussing selected ML projects, SQL, and DL questions. There were also coding questions. The domain was Pharma with US clients and US shifts. They offered good projects with good work pressure, leading to good performance and results, and a good hike. There were learning opportunities and it was work from office.
Confirmed questions2 questions
- Can you tell me about the projects you've worked on?
- What are your thoughts on ML and DL?
MathCo
Data Scientist
Mid Average Positive experience No offer 1 round
Interview process
Technical screen
Interview formats
Technical Coding
The interview was good overall and involved technical questions related to Pandas. Pandas offers two primary data structures for data manipulation: Series and DataFrame. A Pandas Series is a one-dimensional labeled array that can hold any data type. Its axis labels are called indexes and can be created from lists, dictionaries, or scalar values. A Pandas DataFrame is a two-dimensional, size-mutable, tabular data structure with labeled axes (rows and columns). It can be created by loading data from sources like SQL databases, CSV files, or Excel files, or from lists and dictionaries. Pandas programs are best run in Jupyter Notebook for easier code execution and visualization.
Confirmed questions1 question
- Can you explain how to swap columns in a NumPy array?
MathCo
Data Scientist
Entry Easy Positive experience Accept offer 4 rounds
Interview process
Recruiter call Technical screen Technical screen Technical screen Technical screen Take home Recruiter call Background check Offer
Interview formats
Technical Coding Case Behavioral
I was contacted by the company's HR via LinkedIn. It was a 4 round interview process. Round 1 was a technical round based on your projects, basic statistic, machine learning etc. Round 2 was a coding round which has 4 Statistics basic MCQ questions, 4 SQL queries to write and 4 python code to write within 1 hour of time interval. Round 3 will be your behavioural round in which they ask you about case study and all. Round 4 will be HR round in which normal introduction, asks you how will you blend in the company, why our organisation, this round also includes case study.
Confirmed questions3 questions
- What is LSTM and can you explain Bert?
- How would you manage a difficult client?
- Tell me about yourself, how you'd fit into the company and why you're interested in this organization.
MathCo Data Scientist Interview Questions
Quoted word for word from MathCo interview reports.
“Given a dataframe, how would you transform it based on the mean using group by in Python for data wrangling?”
Read reports →“Can you explain how to swap columns in a NumPy array?”
Read reports →“Logically, how can a cake be cut into 8 equal parts with just 3 straight cuts?”
Read reports →“What are the distinctions between rank and dense rank functions in SQL?”
Read reports →“What is a confusion matrix, and what's the difference between r-squared and adjusted r-squared?”
Read report →“In what order are the clauses of a SQL query executed?”
Read report →“What are the different evaluation metrics used for classification, such as precision and recall?”
Read report →“What does it mean to have high recall and low recall?”
Read report →“Can you explain loss functions, their role in ML models, and their uses?”
Read report →Formats, difficulty and experience
Across all 54 MathCo interview reports.