Career journal for

Data Scientists

Data scientist impact is the decision your model moved, not the model itself. The kill calls and reallocations are easy to forget once they have already happened.

Bloomly is the career journal built for the moments the work actually happens, not the night before the review.

A captured day for a Data Scientist

1. 01

   9am: shipped the unit-economics model to the COO; kill-decision came back in 48 hours.

2. 02

   12pm: experiment design review with the growth team; flagged power-calculation issue that would have wasted 4 weeks.

3. 03

   3pm: paired with Marcus (PM) on his first quasi-experimental analysis.

4. 04

   5pm: documented the cohort-retention method in the analytics wiki.

What a Data Scientist captures

• Analyses whose recommendations shipped
• Models you built that hit production
• Experiments designed with statistical rigor
• Dashboards and tools other teams use
• PM and exec partnerships

Built the unit-economics analysis that drove $4M capital reallocation. Designed 11 experiments with proper power calculations. Authored cohort analysis cited by COO.

Promotion rubric, mapped to capture

• Analyses that moved decisionsCaptured automatically through dated entries, auto-tagged against this dimension, and surfaced in your generated Performance Report and Period Recap.
• Modeling craftCaptured automatically through dated entries, auto-tagged against this dimension, and surfaced in your generated Performance Report and Period Recap.
• Experimentation rigorCaptured automatically through dated entries, auto-tagged against this dimension, and surfaced in your generated Performance Report and Period Recap.
• Cross-functional influenceCaptured automatically through dated entries, auto-tagged against this dimension, and surfaced in your generated Performance Report and Period Recap.