Candidatei-me online. O processo levou 2 dias. Fui entrevistado pela Digikala (Ahvāz) em fev. de 2021
Entrevista
In the ring of opportunity, nerves clash with confidence. Steely gazes meet across the table. Questions strike like jabs—swift and probing. Stories of conquest and ambition follow. Laughter cuts the tension like a blade. A firm handshake, a resolute nod—the future awaits the victor.
Perguntas de entrevista [1]
Pergunta 1
what's the difference between python list and tuple?
good generally, interviewers were nice, hr followed up good, questions were not really hard some about ml and some statistics, I was nervous a little bit but totally was a good process
Candidatei-me online. O processo levou 2 meses. Fui entrevistado pela Digikala (Teerã, ) em nov. de 2023
Entrevista
The interview process varies across teams and departments, but in general, it follows three main steps:
1️⃣ Technical Interview – Usually conducted by your team lead or someone directly connected to the role. This round focuses on your technical skills, problem-solving abilities, and coding proficiency.
2️⃣ Managerial Interview – Led by your manager, this step is more about your role within the team, project-related discussions, and how your skills align with the team's needs.
3️⃣ HR Interview – The final step covers cultural fit, salary expectations, and company policies.
Perguntas de entrevista [1]
Pergunta 1
Interview Experience for a Data Position at Digikala
During my interview for a data position at Digikala, one of the questions I was asked was about Object-Oriented Programming (OOP) and its core concepts. At first, this seemed unrelated to the role, but upon deeper reflection, I realized its significance.
Even in data science and analytics, writing maintainable and modular code is essential, especially when working with large-scale systems and real-world applications. Understanding OOP principles (like encapsulation, inheritance, polymorphism, and abstraction) helps in structuring code that is scalable, reusable, and closer to production-level standards.
For anyone preparing for a data-related role at Digikala (or similar companies), I’d recommend brushing up on OOP concepts and their practical applications in Python. It’s not just about writing scripts—it’s about building systems that work efficiently in a team-based, production environment.
