How do the data scientist and applied scientist roles at Microsoft differ in terms of: 1. Role 2. Interview process 3. TC Anyone who interviewed for either or both of these positions would be willing to share their interview experience and preparation strategy?
In my team, AS used to be the title for all DS position but now the title DS takes over - no more AS coming in. Hence, there’s really no difference in my team. All what matters is what you do, not your title.
It’s exactly the same, just nomenclature, depending on different org
Any idea about the interview process? Do they ask a lot of data structures, algorithms, ML?
It’s like a regular DS interview. You are expected to know all and master of couple of the topics 1. Data wrangling skills like SQL 2. Programming 3. Statistical inference 4. Machine Learning 5. Probability 6. Soft skills , visualizations and communication and forming a data story