
Meta
Data Scientist

Practice for Data Scientist
Meta
Recruiter Screening
Initial phone screen with a recruiter to discuss your background, experience, and interest in the role at Meta. This round also assesses culture fit and basic qualifications .
Walk me through your resume and tell me about your experience with data science projects.
Why are you interested in this Data Scientist role at Meta, and what excites you about our products?
Describe your experience with SQL and other programming languages relevant to data analysis.
All interviews are private and won't be shared with the recruiters.
Technical Skills & Product Sense
This round assesses your coding abilities (SQL or Python) and product sense through open-ended questions and case studies .
Given a table of user interactions on Meta's platform, write an SQL query to calculate the total number of interactions per user within the past week.
How would you measure the success of user-generated content on Meta's platform, such as posts, photos, and videos?
Suppose Meta introduces a new advertising feature. What data would you analyze to see if building this new product/feature is worth it?
All interviews are private and won't be shared with the recruiters.
Analytical Reasoning & Experimentation
This round focuses on your ability to design experiments, analyze data, and draw conclusions to inform product decisions .
Explain how you would set up a randomized controlled trial (RCT) to evaluate the effectiveness of a new privacy feature on Meta's messaging platform.
Meta is considering two variations of its news feed algorithm to increase user engagement. How would you design an A/B test to compare the performance of the current algorithm with the proposed variations?
Imagine there's been a sudden 10% drop in Facebook's daily post views. How would you investigate?
All interviews are private and won't be shared with the recruiters.
Meta Values & Behavioral Assessment
This round assesses your alignment with Meta's core values and your ability to collaborate effectively in a team environment .
Tell me about a time when you had to influence a stakeholder on a decision they didn't necessarily agree with.
Describe a situation where you faced a challenge in data collection. How did you handle it?
Meta's core values include 'Move Fast' and 'Be Open'. How do you embody these values in your work?
All interviews are private and won't be shared with the recruiters.