Data Science Interview Process at Tier-1 Companies
We prepare you for all stages of a typical data science interview process at FAANG and Tier-1 companies
1 Coding Round
Easy to medium Leetcode problems or Python-based data manipulation, wrangling questions. SQL is often a part of these rounds.
Behavioral Round
Questions related to your job experience
Discussions on past projects
Open-ended questions to gauge if you're a "good fit”
3-4 Onsite Rounds
1 Problem-Solving/Discussion Round: Discussing past work experience, projects, and approach; questions based on statistics, coding, probability, and quantitative aptitude.
1 Take-Home Assignment Round: Some companies give a dataset and inference-based questions to judge your approach to the problem and deduction skills. The usual deadline is 24-48 hours.
1-2 Domain Rounds: Deep dive into Data Science fundamentals. Questions in these rounds typically focus on designing experiments to meet certain business goals, A/B testing, and ML algorithms.
Top companies love hiring our candidates
No items found.
What our students say
Flavia Vela
Senior Software Engineer
Offers from
The classes, workshops, quizzes, practice problems, and mock interviews provided me with the knowledge, tools, and the feedback that I was missing. Interview Kickstart showed me how to prepare for success.
Akshay Lodha
Data Engineer
Offers from
"The way the instructors taught was awesome, the career coaching and the mock interview sections were also really helpful. Interview Kickstart helped me a lot in orienting myself and getting into the rhythm., and eventually transition from Goldman Sachs to Facebook."
Sujay Ghosh
Software Development Manager
Offers from
“Interview Kickstart's program is wonderful. I found the classes as well as the materials provided by Interview Kickstart very helpful. In the mock interview sessions, I was able to clear my concerns on a 1-on-1 basis.”
Frequently Asked Questions
What do the statistics/probability rounds look like in a Data Science interview?
What do the coding rounds look like in a Data Science interview?
What coding topics are essential for Data Science interviews, and how does our program approach them?
What does the data science domain interview round look like?
Here are some examples of domain-specific questions that have been asked in the interview: