Netflix Data Scientist Interview Preparation Guide - Junior Level
Data Scientist
Netflix
Junior
8 rounds
Updated 11/22/2025
Netflix's Data Scientist interview process evaluates technical proficiency in SQL and Python, statistical and experimental design knowledge, machine learning capabilities, product sense, and cultural fit with Netflix's Freedom & Responsibility values. The process spans phone screens and an onsite loop involving multiple data scientists, engineers, product managers, and team leaders. For junior-level candidates, the assessment focuses on core data science fundamentals, hands-on coding ability, analytical thinking, and demonstrated potential to grow into more complex projects. Netflix prioritizes candidates who combine technical rigor with business acumen and can operate autonomously while collaborating across teams.
Interview Rounds
1
Recruiter Screening
30 min3 focus topicsbehavioral
2
Hiring Manager Screen
30 min4 focus topicsbehavioral
3
Technical Phone Screen
90 min4 focus topicstechnical
4
Onsite Interview Round 1: Data Manipulation and Analytics
75 min4 focus topicstechnical
5
Onsite Interview Round 2: Machine Learning and Predictive Analytics
75 min4 focus topicstechnical
6
Onsite Interview Round 3: Experimental Design and Statistics
75 min4 focus topicstechnical
7
Onsite Interview Round 4: Product Sense and Business Impact
60 min4 focus topicscase study
8
Onsite Interview Round 5: Culture Fit and Team Collaboration
60 min4 focus topicsbehavioral
Additional Information