Pros
If you are highly autonomous, you will have the opportunity to learn Data Science through interesting projects. The colleagues are genuinely friendly, which helps create a pleasant and supportive work environment. Given the issues mentioned later, it’s better to see this experience as a starting point rather than a place to build a long-term career.
Cons
A manipulative and non-transparent management: Many promises made during the hiring process were never fulfilled. Communication between management and teams is almost non-existent. Repeated delays in salary payments, often without explanation or apology, also demonstrate a significant lack of respect for employees. Oppressive micro-management: The founders regularly intervene without notice to impose tasks that are not aligned with the directives of direct managers, leading to confusion and inefficiency. Inexperienced management: The managerial team severely lacks experience, and there is a noticeable absence of senior technical profiles. Employees with prior work experience quickly realize it’s best to leave. As a result, some projects suffer from massive technical debt. A culture of presenteeism: The company enforces a blatant double standard. Employee tardiness is systematically criticized and held against them, but overtime hours are neither acknowledged nor compensated. We are told that this “is part of the mission.”