Compare profiles
Side-by-side leveling, scope, and market pay. Add up to four via ?keys=SWE.GEN.P5,SWE.GEN.P6.
| vs | P7 DATASC.AIMACHIN97C0.P7 AI / Machine Learning Engineering — P7 | P6 DATASC.AIMACHIN97C0.P6 AI / Machine Learning Engineering — P6 | P7 DATASC.DATASCIE8990.P7 Data Science — P7 | P5 DATASC.AIMACHIN97C0.P5 AI / Machine Learning Engineering — P5 |
|---|---|---|---|---|
| Market pay | $231k ($182k–$294k)inherited | $188k ($148k–$240k)inherited | $231k ($182k–$294k)inherited | $138k ($109k–$176k)inherited |
| Level | P7 · P7 — Staff / Distinguished Professional | P6 · P6 — Principal Professional | P7 · P7 — Staff / Distinguished Professional | P5 · P5 — Expert Professional |
| Function | Data Science & Analytics | Data Science & Analytics | Data Science & Analytics | Data Science & Analytics |
| Focus | AI / Machine Learning Engineering | AI / Machine Learning Engineering | Data Science | AI / Machine Learning Engineering |
| Typical years | 15–22 | 12–18 | 15–22 | 8–12 |
| Scope | Cross-organization / enterprise technical strategy | Organization-wide architecture and the hardest problems | Cross-organization / enterprise technical strategy | Multiple systems or a technical domain |
| Autonomy | Operates autonomously at the enterprise level | Defines direction; minimal oversight | Operates autonomously at the enterprise level | Sets direction within the domain |
| Impact | Enterprise-wide | Organization-wide | Enterprise-wide | Org / multi-team outcomes |
| Decision rights | Final technical authority across multiple domains | Sets technical strategy for a major area | Final technical authority across multiple domains | Authority over a technical domain |