Get ready for Data Scientist, based on the jobs you actually want.
Expectations, interview rounds, a sample gap report and a capability map, built for this role.
What companies commonly expect at senior level.
- Sound experiment design and statistics, including causal reasoning when randomization is not possible
- Fluent analytical SQL at scale
- Model design with data, evaluation and serving trade-offs
- Product sense: defining metrics and guardrails
- Communicating results and leading work across teams
Typical interview rounds.
| Round | Tests |
|---|---|
| SQL and analytics | Queries, data reasoning, optimization |
| ML design | Data, model, evaluation, serving |
| Case and product sense | Ambiguous problems with structured analysis |
| Behavioral and leadership | Scenarios backed by evidence |
| Coding | Only when the target process includes it |
An example gap report.
Job description says
Design and analyze experiments; reason about causal effects when randomization is not possible.
Your resume says
Ran A/B tests for a checkout redesign.
This gap is inferred, not confirmed. A short diagnostic question would ground it.
Sample resume and three sample job descriptions. Nothing is uploaded on this page.
An example capability map.
Sample target: Senior Data Scientist. Brightness shows strength of evidence, not a level.
Experiment design
Needs evidenceConfidence: MediumRequirement. Design tests, choose metrics and guardrails, read results.
Recent. Strong on setup, thin on interference and novelty effects.
Next action. Practice a marketplace experiment case.
Practice modes and projects.
- Review an experiment shipped too early
- Design an evaluation plan for a ranking change
- Diagnose a metric drop from raw event data
Questions.
Is coding always part of the plan?
No. Coding practice appears only when your target companies test it.
Which levels does this cover?
The sample here targets senior roles. Level is part of your target.
Does this guarantee interviews?
No. SPHERO shows evidence-informed gaps and practice. It makes no hiring promises.