Domain
Machine Learning & AI
Skill Profile
Collaborative, content-based, and hybrid filtering, recommendation quality metrics
Roles
1
where this skill appears
Levels
5
structured growth path
Mandatory requirements
3
the other 2 optional
Machine Learning & AI
Recommender Systems
3/17/2026
Choose your current level and compare expectations. The items below show what to cover to advance to the next level.
The table shows how skill depth grows from Junior to Principal. Click a row to see details.
| Role | Required | Description |
|---|---|---|
| Data Scientist | Understands the fundamentals of Recommender Systems Fundamentals. Applies basic practices in daily work. Follows recommendations from the team and documentation. |
| Role | Required | Description |
|---|---|---|
| Data Scientist | Independently applies Recommender Systems Fundamentals in practice. Understands trade-offs of different approaches. Solves typical tasks independently. |
| Role | Required | Description |
|---|---|---|
| Data Scientist | Required | Has deep expertise in Recommender Systems Fundamentals. Designs solutions for production systems. Optimizes and scales. Mentors the team. |
| Role | Required | Description |
|---|---|---|
| Data Scientist | Required | Defines Recommender Systems Fundamentals strategy at team/product level. Establishes standards and best practices. Conducts reviews. |
| Role | Required | Description |
|---|---|---|
| Data Scientist | Required | Defines Recommender Systems Fundamentals strategy at organizational level. Establishes enterprise approaches. Mentors leads and architects. |