Two candidates describe AbbVie data science interviews: one with a hiring manager on technical depth versus communication, the other with behavioral, project and manager rounds that stressed healthcare supply chain.
$125K
Avg. Base Comp
$161K
Avg. Total Comp
2-3 rounds
Typical Rounds
Not reported
Process Length
Two candidates who interviewed for AbbVie data science roles describe different processes. Both ended in no offer, so treat this as a small sample.
One candidate went straight to the hiring manager with no HR screen. The first round was a walkthrough of past projects, covering objectives and methods. The manager then asked for a second meeting to go deeper on methodology. That candidate built a slide deck and found the feedback shifted from technical depth to communicating with non-technical stakeholders. Practice explaining the same project at two levels: a full methods version and a plain-language version for people outside data science. Ask early what audience the role serves.
The other candidate reported a behavioral round on five-year goals and strengths and weaknesses. A separate round covered a past data science project built in Python. The final round was with two managers from different teams, who emphasized healthcare supply chain experience. If you have worked on supply chain or operations data, prepare to connect it to healthcare use cases.
That same candidate described poor communication throughout. Meeting times changed often, status emails went unanswered, and no feedback came after the final round. Keep your own notes on each conversation, and follow up politely, but don't plan around a quick reply. Salary figures for this role vary widely by level, so confirm the posted range with the recruiter.
Synthesized from 4 candidate reports by our editorial team.
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Synthesized from candidate reports. Individual experiences may vary.
One candidate applied online and was scheduled directly with the hiring manager, with no HR screen. The other reported chaotic HR scheduling, with meeting times that changed often and little clarity about each round. Expect the early steps to vary, and confirm the format of each round with your recruiter.
Candidates report discussing past projects, including objectives, methods and a Python-based analytics project. One also reported standard behavioral questions about five-year vision and strengths and weaknesses. Be ready to explain your methodology clearly and tie your work to healthcare applications.
One candidate was invited to a second meeting to go deeper on methodology and prepared a slide deck. The manager then stressed communicating with non-technical people. This was a single report, but it suggests preparing both a technical explanation and a plain-language one, and asking who the stakeholders are.
One candidate's final round was with two managers from different teams, who were open about the role's focus on healthcare supply chain experience. Prepare examples that show domain knowledge. After the onsite, that candidate heard nothing back, so ask about next steps and timing before you leave.
