United Airlines Data Scientist interview experience

No offer

Medium

Positive

Gurgaon, HaryanaPosted Dec 2023 · Candidate report, summarized by Dataford

My process leaned heavily into optimization theory.

The rounds I went through covered basic linear programming and then moved into convex and concave optimization, plus mixed-integer linear programming (MILP). I also got questions tied to genetic algorithms, and they mixed that with some straightforward coding.

What surprised me was how much of it was about being precise with concepts—like understanding objective functions, constraints, and the feasible region for linear programs, and being able to discuss solution approaches (including something like the simplex idea). On the convex/concave side, I had to explain how those properties affect

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