о полезности того, что зачастую неверно

Из свежеприсланного описания некой позиции:

What you bring to the table:


• You have expertise in at least one modeling/machine learning platform such as R, Python, or SAS.
• You have knowledge of an additional general purpose programming language such as C++ or Java.
• You have advanced SQL skills and experience with No SQL technologies.
• You have built several predictive models that have been put into live production.
• You obsess over sample bias, over-fitting, variable selection, missing values, etc.
• You understand the need to balance predictive power, interpretability, and ease of implementation.
• You appreciate that all models are wrong, but some are useful.

What you can expect from us::


• Unparalleled opportunity to apply state-of-the-art machine learning techniques to real world data sets.
• Constant opportunity to learn through regular guest speakers, “brown bags”, and sponsorship to attend conferences.
• Work with highly intelligent and accomplished individuals who understand and value technical challenges.
• No egos, no bravado and no hostility. We value character and achievements, not who speaks the loudest in the room.

Исходя из последнего пункта первого раздела, автор не без чувства юмора.
Последний пункт второго раздела -- было бы отлично, если бы было правдой.

Ну а так, отвлекаясь от деталей, список того, что можно ожидать от работодателя, конечно, впечатляет -- платить-то вообще собираются? или работать за интерес и пайку в «коричневом пакетике»?