Took about four weeks from start to finish, which was a bit longer than I anticipated. The interview began with a technical screen focusing on a SQL query to identify titles that boosted new signups. Then came a deeper dive into A/B testing strategies for a personalized model. I was pleasantly surprised when one of the success metrics questions mirrored the case-study section on prachub.com I had been studying. After some behavioral questions, I received an offer, which I happily accepted. Overall, a rigorous but rewarding process.
Interview questions [3]
Question 1
Design an A/B test to evaluate a new personalized row-ordering model on the logged-in homepage, when we suspect heavy overlap in what different rows surface and that retention is a long-term outcome.
How would you define and measure the success of a change to the 'Because you watched' recommendation row, and what proxy metrics would you use in the short term?
Write a SQL query to find the top ten titles that drove the highest new-signup completion rate over the last quarter, restricted to first-time viewers.
After a recruiter screen and technical/manager interview, candidates face two on-site rounds. These assess technical skills and "Dream Team" fitness. Final hiring decisions rest with the hiring manager and require unanimous team approval.
I applied through an employee referral. I interviewed at Netflix (San Francisco, CA) in Jan 2026
Interview
Stat with regression related question, giving a detailed linear regression model.( like explain the coefficient, R^2, type 1 & type 2 error)
A/B testing, like if there is multi-class testing, what's the common pitfall? What's FDR, how to calculate it.
Data Scientist applicants have rated the interview process at Netflix with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 24% positive. To compare, the company-average is 48.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 19 days to get hired, when considering 17 user submitted interviews for this role. To compare, the hiring process at Netflix overall takes an average of 23 days.
Common stages of the interview process at Netflix as a Data Scientist according to 17 Glassdoor interviews include:
Phone interview: 33%
One on one interview: 25%
Skills test: 17%
Presentation: 8%
Personality test: 6%
Background check: 6%
Group panel interview: 3%
IQ intelligence test: 3%
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