Sia Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 32 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Sia.
Sia
Data Science Consultant
Mid Average Negative experience Decline offer 3 rounds
Interview process
Recruiter call Technical screen Onsite Offer
Interview formats
Coding
Very unprofessional. The interview process involved an HR screen, followed by a hiring manager interview, then a live coding interview, and finally a management interview. They extended an offer, discussed the package, and set a start date, only to rescind the offer a few days later due to budget issues with minimal explanation.
Confirmed questions2 questions
- Questions on Python coding
- Questions on SQL coding
Sia
Data Scientist
Entry Average Positive experience Accept offer 3 rounds
Interview process
Recruiter call Technical screen Technical screen
Interview formats
Case Technical Behavioral
The Sia Partners hiring process involves 3 rounds: first, an HR interview, followed by two data-focused case study interviews which are not overly difficult. Overall, it's a fairly quick process.
Confirmed questions2 questions
- What constructive feedback has your manager given you?
- Can you explain what a linear regression is?
Sia
Data Science Intern
Intern Average Positive experience No offer 3 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Behavioral Technical Case Presentation
The process has 3 stages: an HR interview (standard questions), an easy data case interview (not very technical), and a director interview where you need to be solid on what you want and research, and structure your answers well. Responsiveness and flexibility for the interviews. They give feedback after each interview, which is nice.
Confirmed questions4 questions
- Tell me 3 reasons why you want to go into consulting.
- What is the definition of the F1 score?
- Explain XGBoost to a client.
Sia Data Scientist Interview Questions
Quoted word for word from Sia interview reports.
“What is the definition of the F1 score?”
Read reports →“Can you determine the angle between watch hands at 9:15?”
Read reports →“Could you explain the difference between a random forest and an xgboost?”
Read reports →“How do you measure the performance of a regression model?”
Read reports →“Can you explain the difference between bagging and boosting techniques?”
Read report →“How would you solve this using GROUP BY without window functions? (SQL)”
Read report →“Can you explain Random Forest and how the 'randomness' is incorporated?”
Read report →“Can you explain what a linear regression is?”
Read report →“Can you explain decision trees and random forests?”
Read report →Formats, difficulty and experience
Across all 32 Sia interview reports.