Data Scientist vs DevOps Engineer: Career Comparison
Choosing between Data Scientist and DevOps Engineer? This side-by-side compares salary, outlook, education, skills, and what the work actually looks like day-to-day. Data Scientist typically pays more at the median. Both are research-backed Qoollege career guides — read either in full below.
Side-by-side
Higher salary ceiling: DevOps Engineer. Faster projected growth: Data Scientist. Same education level: no.
| Attribute | Data Scientist | DevOps Engineer |
|---|---|---|
| Salary range | $95k – $165k | $76k – $168k |
| Outlook & demand | Very high · +34% by 2034 | Very high · +29.2% by 2034 |
| Education level | Master | Bachelor |
| Top skills | Coding, Statistics, Data Visualization, Machine Learning, Communication | Coding, Cloud Platforms, CI/CD Automation, Problem Solving, Teamwork |
| Where they work | tech companies, finance, healthcare, pharmaceuticals, retail, e-commerce, consulting, government, insurance, manufacturing | tech companies, cloud services, software teams, IT operations, startups, enterprise technology departments |
| Day-to-day work | Daily work is usually a mix of coding, analysis, cleaning messy data, and talking with other teams. A lot of the job is less about flashy AI and more about careful preparation, testing, documentation, and explaining results in plain language. | Daily work is usually a mix of coding, systems troubleshooting, and teamwork. A DevOps Engineer may spend part of the day improving automation and part of the day helping teams respond to reliability or deployment issues. |
| Education routes | 4-year degree; Master's degree; Bootcamp / certificate pathway; Self-taught + portfolio | 4-year computer science or software engineering degree; IT support or junior software path into DevOps; Self-taught projects plus certifications; Bootcamp or intensive training with portfolio work |
| Projected growth | +34% | +29.2% |