interviewing at AbbVie for a Senior Data Scientist role in their Commercial Analytics group in about 3 weeks. would really appreciate hearing from anyone who's been through a loop here recently, especially on the analytics or data science side.
specifically curious about: what the technical screen looks like (SQL? case study? take-home?) how much they care about pharma domain knowledge vs general DS skills anything weird about the panel structure
drop whatever you remember, even partial info helps. don't need the full play-by-play, even a sentence about what surprised you is useful.
4 replies
de_derek
not exactly the same role but i interviewed for a Data Engineering position in their R&D IT group last year. technical screen was SQL-heavy, real queries on realistic schemas, not leetcode. they had a take-home exercise involving some ETL logic and wrote it in Python. no live coding, which i appreciated. domain knowledge didn't come up in technical rounds, but they did ask behavioral questions about working in regulated data environments, like how you handle audit trails and data lineage.
ds_dmitri
regulated data environments angle is really useful, hadn't thought about that framing. good to know it's SQL not algo puzzles.
analyst_ana
I went through a BI Analyst loop at AbbVie about 6 months ago. No take-home but they walked me through a case in the panel round. It was commercial data, prescription volume trends, and asked me to walk through how I'd diagnose a sudden drop. Pretty straightforward if you're used to business analytics cases. They weren't testing pharma jargon, more structured problem-solving.
ml_mike
Heard from someone in my network who went through their ML platform team: one of the rounds was a 'model design' discussion, not implementation. They gave a real business problem (patient adherence prediction or something) and wanted to hear how you'd scope and approach it. More about framing than math. If that's relevant, worth prepping a few of those.