Meta Data Science interview questions

got a dm from a meta recruiter on linkedin. first was the recruiter screen - pretty chill, just walking through my background and ds experience. then a technical screen which was split between sql and a product case study (identifying metrics for a new feature). the onsite was 3 main rounds and definitely the most intense part. first was the analytical reasoning round - this was pure product case work, like how would you measure the success of meta verified or what to do if a specific metric tanks. then the statistical execution round which was much more technical - brushed up on a/b testing, probability, and how to actually calculate p-values or sample sizes. last was leadership & drive, which was behavioral stuff about handling disagreements with eng or how you drive impact without authority. honestly i was struggling with the stats part and structuring my case answers earlier but i did some mocks on prepfully with a meta ds coach. it helped a ton with making my logic sound more 'meta' and not just rambling lol. also skimmed through reddit a bit. got the offer shortly after. definitely practice sql under time pressure and get your product frameworks down!

Full loop process for Product Data Scientist. 4 core interviews: - Analytical Execution: stats / probability (eg probability of independent events). I was also asked to calculate a z-score by hand. - Analytical Reasoning: case study on a product question. Mine was on website tagging for ads. - Technical Skills: Live SQL coding. - Behavioural: standard "tell me about a time" questions