Got a loop scheduled for a senior data engineering role on their supply chain analytics team. It's a bit of an unusual seat, kind of between the tech org and the manufacturing side of the house.
I've done CPG loops before but not Mars specifically. From what I can tell the culture is pretty different from the usual tech-company playbook given that they're private and family-owned.
If anyone has done a technical interview at Mars in the last year (data eng, data science, analytics, software), I'd love to know: did they do leetcode-style coding? System design? More of a domain/scenario thing? How heavy was the behavioral component relative to technical? And did you get any sense of what the tech stack looks like day to day? Appreciate anything.
4 replies
ds_dmitri
I interviewed for a data science role there about 8 months ago. No leetcode. I got a SQL assessment early in the process (practical, not puzzle-y), a case on a hypothetical demand forecasting problem, and then behavioral rounds. The tech interviews felt much more applied than at a pure tech company. They wanted to see you reason about a real supply chain problem, not reverse a binary tree.
de_derek
That's really helpful. The demand forecasting angle makes sense given the business. Did the SQL test come before or after the HR screen?
ds_dmitri
After the HR screen, before the hiring manager call. It was async, timed, sent via email. Maybe 45 min, fairly standard.
infra_ines
Not Mars but I interviewed at Mondelez which is adjacent CPG. Similar vibe: way more emphasis on business impact of your technical work than on algorithmic cleverness. I'd prep to talk about scale, reliability, and how your pipelines affected downstream business decisions. That story format lands better than talking about which tools you used.