Salary band example 2: Data Scientist salary ranges
For a second example, let’s take a company that wants to build role-specific salary band groups and is starting with the salary ranges for their Data Scientist role.
It’s an important role because the company is a data company, so all Data Scientists are based in the company’s HQ in Berlin – so there’s no need to create multiple band groups for different locations in this case.
The company is relatively early-stage and currently has three Data Scientists: one at P3, one at P4, and the team manager at M3. However, they are intending to hire two entry-level P2 positions in the next year to support workload needs.
These will be the only relevant job levels for the foreseeable future so to avoid complexity we won’t build bands for the missing levels – but the company does want to support employee progression, so it’s important to also build bands for the levels immediately above where current employees are to inform promotion conversations (so P2, P3, P4, P5, M3, M4).
The company’s compensation philosophy includes the core principle of offering market-aligned salaries and market-leading equity compensation, so the target percentile for our Data Scientists is the 50th percentile.
Looking at Ravio’s salary benchmarking data we can determine what the midpoint of each salary band should, therefore, be for our target percentile in Berlin. To take one example, for the P3 Data Scientist the 50th percentile market salary in Berlin is €74,700 (as of February 2025) – so that’s the midpoint of their salary band.