Domäne
Machine Learning & AI
Skill-Profil
Collaborative, content-based, and hybrid filtering, recommendation quality metrics
Rollen
1
wo dieser Skill vorkommt
Stufen
5
strukturierter Entwicklungspfad
Pflichtanforderungen
3
die anderen 2 optional
Machine Learning & AI
Recommender Systems
17.3.2026
Wählen Sie Ihr aktuelles Level und vergleichen Sie die Erwartungen.
Die Tabelle zeigt, wie die Tiefe von Junior bis Principal wächst.
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| Data Scientist | Understands the fundamentals of Recommender Systems Fundamentals. Applies basic practices in daily work. Follows recommendations from the team and documentation. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| Data Scientist | Independently applies Recommender Systems Fundamentals in practice. Understands trade-offs of different approaches. Solves typical tasks independently. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| Data Scientist | Pflicht | Has deep expertise in Recommender Systems Fundamentals. Designs solutions for production systems. Optimizes and scales. Mentors the team. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| Data Scientist | Pflicht | Defines Recommender Systems Fundamentals strategy at team/product level. Establishes standards and best practices. Conducts reviews. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| Data Scientist | Pflicht | Defines Recommender Systems Fundamentals strategy at organizational level. Establishes enterprise approaches. Mentors leads and architects. |