Meta Data Science interview questions

The process usually starts with a recruiter call where they ask about your background and explain the steps. Then, you’ll have a technical screen—expect some SQL and data analysis questions. If you pass, you’ll do 3–4 more rounds, including: Product sense (how you think about metrics and improving products), A/B testing (designing and analyzing experiments), SQL/data analysis (writing queries and interpreting results), and Behavioral questions (talking about past experiences using data). They really care about how you use data to make decisions, explain results, and work with product teams. Knowing SQL, basic stats, and being able to explain your thinking clearly is key.

A lot of emphasis on SQL preparation and coding it correctly during the interview. Also similar emphasis on having a strong product sense. I was asked two SQL questions in the technical screen followed by a deep dive into a product sense question on a meta product