Data & AI jobs from company career pages
Data titles collide. Analyst, scientist, analytics engineer, and machine learning engineer get used for work that ranges from dashboards to training models. The career page is where the company admits which one this is, and which tools the team already runs.
Search the whole function if you cross those lines, then reject quickly when the posting is a research job dressed as a product job, or the reverse. Country and work mode matter here as much as anywhere, because a lot of these roles are labeled remote and still tied to one office.
What to check on the career page
- Whether the work is reporting, pipelines, or models
- The stack they name, and whether it is the one you use
- How much of the job is stakeholder work versus building
- A real team, rather than an open-ended AI initiative with no owner
Titles in Data & AI
JobLookout groups these titles under one function so you are not searching a single keyword at a time. Hidden or unused buckets are left out. Filters and apply steps are covered in the FAQ.