P3
DATA3.GEN.P3
Data Science Data Scientist
Data Science
Data Science Data Scientist
DATA3.GEN.P3
P3P3 — Mid-Level Professionalmedium0.70draftglobalv1
Responsible for developing models and algorithms to extract deeper insights or drive product features from data.
Level
P3 · P3 — Mid-Level Professional · 3–5 yrs
Function · Focus
Data Science · General
Market pay (median)
—
Pay basis
model pending
Responsible for developing models and algorithms to extract deeper insights or drive product features from data.
Summary
Responsible for developing models and algorithms to extract deeper insights or drive product features from data.
Level — P3 — Mid-Level Professional
Fully competent professional; works independently on standard projects
- Scope
- Features or a sub-system end-to-end
- Autonomy
- Works independently on standard work; reviewed on the non-standard
- Complexity
- Diverse problems; adapts existing approaches
- Impact
- Project / team outcomes
- Decision rights
- Owns implementation decisions for own scope
- Leadership
- Mentors juniors informally
- Typical experience
- 3–5 yrs
Core outputs
No core outputs recorded yet.
Adjacent roles
Nearest roles by structural coordinates (level + taxonomy). Distance 0 → 1; each carries its 3-state match band. How coordinates work → · Compare side-by-side →
M3
DATA3.GEN.M3
Data Science Data Science Management
P1
DATA3.GEN.P1
Data Science Data Analyst
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BIBA.GEN.P3
Mid-Level BI Analyst
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Mid-Level Data Analyst
P1
BIBA.GEN.P1
Entry-Level BI Analyst
Componentsshow ▾
Responsibilities8
- Designing experiments and statistical testscommonlevel
- Creating predictive modelscommonlevel
- Developing machine learning pipelinescommonlevel
- Collaborating with cross-functional teamscommonlevel
- Communicating findings to stakeholderscommonlevel
- Improving data collection and analysis processescommonlevel
- Conducting data-driven researchcommonlevel
- Implementing data solutions to business problemscommonlevel
Tasks3
- Develop predictive modelscommonlevel
- Design and conduct experimentscommonlevel
- Implement machine learning solutionscommonlevel
Skills8
- Python/R programmingcommonlevel
- Machine learningcommonlevel
- Statistical analysiscommonlevel
- Data modelingcommonlevel
- Data pipeline developmentcommonlevel
- Experiment designcommonlevel
- Predictive analyticscommonlevel
- Data visualizationcommonlevel
Knowledge8
- Machine learning algorithmscommonlevel
- Statistical methodscommonlevel
- Data science toolscommonlevel
- Data engineeringcommonlevel
- Business acumencommonlevel
- Data ethicscommonlevel
- Advanced SQLcommonlevel
- Research methodologiescommonlevel
competency8
- Strong programming ability (Python/R, SQL)commonlevel
- Mathematics and statistics knowledgecommonlevel
- Familiarity with machine learning techniquescommonlevel
- Critical thinkingcommonlevel
- Problem-solvingcommonlevel
- Data storytellingcommonlevel
- Collaborationcommonlevel
- Project managementcommonlevel
qualification4
- 3-5+ years of experiencecommonlevel
- Critical thinking and domain knowledgecommonlevel
- Master's degree in Data Science or related fieldcommonlevel
- Proficiency in Python/R and SQLcommonlevel
Title aliasesshow ▾
| Alias | Type | Confidence | Approved |
|---|---|---|---|
| Data Science III | common | medium0.70 | — |
| Data Science 3 | common | medium0.66 | — |
| Mid-Level Data Science | common | medium0.64 | — |
| Data Science Data Scientist | common | medium0.60 | — |
| Intermediate to Advanced IC Level | common | medium0.50 | — |
Classification mappingsshow ▾
O*NET / SOC
- code=15-2051.00title=Data Scientistssource=corpusreviewStatus=approved