← Canon taxonomy

Data Science and Analytics Data Scientist

DSA.GEN.P3

P3P3 — Mid-Level Professionalmedium0.70draftglobalv1

Analyze complex datasets to extract trends, build predictive models, and support data-driven decisions.

Summary

Analyze complex datasets to extract trends, build predictive models, and support data-driven decisions.

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 →

P2
DSA.GEN.P2
Data Science and Analytics Data Analyst
confident0.06
P3
DATA2.GEN.P3
Proficient
review0.15
P3
DATA4.GEN.P3
Career
review0.15
M3
DEM.GEN.M3
Senior Manager
review0.20
P2
DATA2.GEN.P2
Developing
review0.21
P4
DATA2.GEN.P4
Advanced/Mastery
review0.21

Components

Responsibilities10

  • Analyze datasetscommonlevel
  • Build predictive modelscommonlevel
  • Support data-driven decisionscommonlevel
  • Collaborate with cross-functional teamscommonlevel
  • Present findings to stakeholderscommonlevel
  • Develop data-driven solutionscommonlevel
  • Ensure data quality and integritycommonlevel
  • Stay updated with industry trendscommonlevel
  • Optimize data processescommonlevel
  • Mentor junior team memberscommonlevel

Tasks3

  • Analyze and interpret complex datasetscommonlevel
  • Develop and implement predictive modelscommonlevel
  • Collaborate with stakeholders to define data needscommonlevel

Skills10

  • Statistical analysiscommonlevel
  • Machine Learning Algorithmscommonlevel
  • Data Visualization Toolscommonlevel
  • Python/R programmingcommonlevel
  • Data cleaningcommonlevel
  • Predictive modelingcommonlevel
  • Data interpretationcommonlevel
  • Critical Thinkingcommonlevel
  • Collaborationcommonlevel
  • Presentation skillscommonlevel

Knowledge10

  • Advanced Statisticscommonlevel
  • Machine Learning Techniquescommonlevel
  • Data visualization best practicescommonlevel
  • Programming languagescommonlevel
  • Data managementcommonlevel
  • Business acumencommonlevel
  • Industry trendscommonlevel
  • Data ethicscommonlevel
  • Data governancecommonlevel
  • Emerging technologiescommonlevel

competency10

  • Statisticscommonlevel
  • Machine Learningcommonlevel
  • Data Visualizationcommonlevel
  • Programming (Python/R)commonlevel
  • Domain Knowledgecommonlevel
  • Problem Solvingcommonlevel
  • Analytical thinkingcommonlevel
  • Communication Skillscommonlevel
  • Project managementcommonlevel
  • Innovationcommonlevel

qualification5

  • Master's degree in Data Science or related fieldcommonlevel
  • Proficiency in Python/Rcommonlevel
  • Experience with machine learningcommonlevel
  • Strong statistical backgroundcommonlevel
  • 3+ years of experience in data analysiscommonlevel

Title aliases

AliasTypeConfidenceApproved
Data Science and Analytics IIIcommonmedium0.70—
Data Science and Analytics 3commonmedium0.66—
Mid-Level Data Science and Analyticscommonmedium0.64—
Data Science and Analyst IIIcommonmedium0.70—
Data Science and Analyst 3commonmedium0.66—
Mid-Level Data Science and Analystcommonmedium0.64—
Data Science and Analytics Data Scientistcommonmedium0.60—

Classification mappings

O*NET / SOC

  • code=15-0000title=Computer & Mathematical Occupationssource=inferred_from_superfunctionreviewStatus=needs_review