sharing what actually came up in my google data science interview questions loop

interviewed earlier this year. L4 data science role.

i’d prepped a lot of sql and stats but the interviews didn’t really go the way most of the prep guides described.

product sense round was about improving an existing google product with very limited data. follow ups were mostly on how would you validate that and what metrics would fail first if you were wrong.

analytics round was basic sql joins + interpretation, nothing hard. the tricky part was explaining what the result actually meant for the business.

also had one round that felt like a mix of behavioral and infra they asked how i’d convince a team to trust a model i helped build, and what i’d do if they weren’t using it after launch.

if you’re prepping for google data science interview questions, the technical bar’s real, but it’s the communication follow-ups that catch people.