Fractional data science
Add senior data capability without pretending every need is a permanent role.
Fractional work can combine recurring decision support, technical leadership, hands-on analysis, evaluation, and capability transfer—when expectations and ownership are explicit.
Potential fit
Useful when the work continues but the role is not yet full time.
- A founder or operator needs a senior data counterpart
- A product team needs recurring evaluation or analytical support
- A company is validating the need before hiring
- An internal team needs temporary specialist capacity
- A roadmap needs both prioritization and execution
Operating agreement
Clarity prevents fractional work from becoming undefined overflow.
ScopeDecisions, systems, and boundaries
CadenceWorking sessions and delivery rhythm
AvailabilityCapacity and response expectations
OwnershipClient sponsor and technical owners
EvidenceArtifacts, progress, and evaluation
ExitTransfer, hiring, completion, or renewal
Need recurring senior capacity?