Data Science
Data Science is an individual-contributor career path within Data & Analytics. Professionals progress from guided execution to independent delivery, senior problem solving, cross-team leadership and enterprise-level expertise without requiring people management.
- Función
- Data & Analytics
- Arquetipo
- Science
- Nivel más alto
- L7 · Distinguished Data Scientist
Para qué existe
Enables the organization to deliver reliable outcomes in data science by building progressively deeper expertise, judgment, ownership and business impact.
Responsabilidades típicas
Execute discipline-specific work; apply professional standards; solve increasingly complex problems; collaborate with stakeholders; improve quality and efficiency; share expertise; at senior levels, shape practices and decisions beyond the immediate team.
Dónde se trabaja
Common in Data & Analytics teams across technology companies, shared-services organizations, consulting firms, multinational operations and other employers that require data science capability.
Cómo avanza la carrera
Associate Data Scientist → Data Scientist → Senior Data Scientist → Staff Data Scientist → Principal Data Scientist → Senior Principal Data Scientist → Distinguished Data Scientist
Niveles de esta carrera
Seis etapas estándar. La séptima existe solo donde la carrera la contempla.
- L1Associate Data Scientist
- L2Data Scientist
- L3Senior Data Scientist
- L4Staff Data Scientist
- L5Principal Data Scientist
- L6Senior Principal Data Scientist
- L7Distinguished Data Scientist
Nivel distinguido opcional. No todas las carreras llegan acá.
Qué se espera en L4 · Staff Data Scientist
Leads complex cross-team work through expertise without direct people management. The focus is successful individual contribution at this stage, not people management.
Las cinco dimensiones que cambian
- Autonomía
- Leads through expertise with little direction.
- Alcance
- Multiple projects/teams or a broad domain.
- Complejidad
- High complexity, dependencies and competing constraints.
- Influencia
- Cross-team and senior stakeholder influence.
- Impacto en el negocio
- Shapes practices and materially improves multi-team outcomes.
- Ambigüedad
- High.
Cómo se ve un buen desempeño
Staff Data Scientist consistently demonstrates the expected autonomy and judgment for L4, delivers outcomes appropriate to the scope of the role, applies required Human, Professional and Technical skills at the mapped proficiency, and produces evidence of impact rather than relying on tenure alone.
Evidencia típica
Completed work with measurable quality/outcome; stakeholder feedback; examples of problems solved and decisions made; reusable artifacts or improvements; demonstrated skill proficiency; mentoring/influence evidence at senior levels.
Habilidades esperadas en L4
Agrupadas en humanas, profesionales y técnicas. La proficiencia meta usa la escala P1–P7, y cada fila dice qué significa ese nivel para esa habilidad.
Humanas18
| Humanas | P | De apoyo |
|---|---|---|
| AccountabilityExecution & Self-Management | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Active listeningCommunication & Language | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| AdaptabilityExecution & Self-Management | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Clear verbal communicationCommunication & Language | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Clear written communicationCommunication & Language | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| CollaborationCollaboration & Relationships | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Continuous learningExecution & Self-Management | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Critical thinkingThinking & Problem Solving | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Cross-functional collaborationCollaboration & Relationships | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Decision makingThinking & Problem Solving | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Influencing without authorityInfluence & Leadership Without Authority | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| ProfessionalismEthics & Professional Conduct | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Stakeholder alignmentInfluence & Leadership Without Authority | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Structured problem solvingThinking & Problem Solving | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Time managementExecution & Self-Management | P5AdvancedCentral | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Giving constructive feedbackCommunication & Language | P4ProficientDe apoyo | Handles complex situations, adapts methods and guides peers in the skill. |
| Knowledge sharingCollaboration & Relationships | P4ProficientDe apoyo | Handles complex situations, adapts methods and guides peers in the skill. |
| MentoringCollaboration & Relationships | P4ProficientDe apoyo | Handles complex situations, adapts methods and guides peers in the skill. |
Profesionales10
| Profesionales | P | De apoyo |
|---|---|---|
| Data ethicsData & Analytics Practice | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
| Data product managementData & Analytics Practice | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
| Data protection impact assessmentsCybersecurity, Privacy & Data Governance Standards | P4ProficientDe apoyo | Handles complex situations, adapts methods and guides peers in the skill. |
| Data quality managementCybersecurity, Privacy & Data Governance Standards | P4ProficientDe apoyo | Handles complex situations, adapts methods and guides peers in the skill. |
| Data stewardshipCybersecurity, Privacy & Data Governance Standards | P4ProficientDe apoyo | Handles complex situations, adapts methods and guides peers in the skill. |
| Data storytellingData & Analytics Practice | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
| Schedule managementProject, Program & Portfolio Management | P4ProficientDe apoyo | Handles complex situations, adapts methods and guides peers in the skill. |
| ScrumAgile, Product & Delivery Methods | P4ProficientDe apoyo | Handles complex situations, adapts methods and guides peers in the skill. |
| User story definitionAgile, Product & Delivery Methods | P4ProficientDe apoyo | Handles complex situations, adapts methods and guides peers in the skill. |
| Value stream managementAgile, Product & Delivery Methods | P4ProficientDe apoyo | Handles complex situations, adapts methods and guides peers in the skill. |
Técnicas8
| Técnicas | P | De apoyo |
|---|---|---|
| Data modelingDatabases & Data Platforms | P4ProficientDe apoyo | Handles complex situations, adapts methods and guides peers in the skill. |
| Data visualization implementationAnalytics, BI & Data Visualization | P4ProficientDe apoyo | Handles complex situations, adapts methods and guides peers in the skill. |
| Machine learningData Science, ML & AI | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
| Python data analysisAnalytics, BI & Data Visualization | P4ProficientDe apoyo | Handles complex situations, adapts methods and guides peers in the skill. |
| SQL analyticsAnalytics, BI & Data Visualization | P4ProficientDe apoyo | Handles complex situations, adapts methods and guides peers in the skill. |
| ScalaProgramming Languages | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
| Supervised learningData Science, ML & AI | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
| Unsupervised learningData Science, ML & AI | P4ProficientCentral | Handles complex situations, adapts methods and guides peers in the skill. |
Qué cambia al pasar de L4 a L5
Moving from Staff Data Scientist to Principal Data Scientist means demonstrating sustained performance at a larger scope with greater autonomy, complexity, influence and business impact—not simply spending more time in role.
Cómo se demuestra que ya estás
Repeatedly performs key aspects of Principal Data Scientist before promotion; demonstrates the required skill increases; handles highly complex/systemic problems.; receives credible stakeholder evidence; shows measurable outcomes at the next-level scope.
Cómo prepararse
Take stretch assignments at the next-level scope; deepen the listed skill gaps; seek feedback from experienced practitioners; document measurable outcomes and decisions; mentor/share knowledge where appropriate; pursue relevant learning or certification when it strengthens capability.
Carreras cercanas
Calculadas por habilidades compartidas. Es una señal para explorar, no una garantía de contratación ni de elegibilidad.
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- Data Governance & StewardshipData & Analytics42 habilidades compartidas
Marco de carreras v21, activo desde 17 de agosto de 2026.