Applied AI / Applied Science
Applied AI / Applied Science is an individual-contributor Data + AI career progressing from guided delivery to enterprise expertise without requiring people management.
- Función
- Data & Analytics
- Arquetipo
- Science
- Nivel más alto
- L7 · Distinguished Applied Scientist
Para qué existe
Applies scientific methods and advanced AI/ML research to product and business problems, bridging experimentation and production impact.
Responsabilidades típicas
Deliver applied ai / applied science outcomes; apply data/AI standards; manage quality, reliability and risk; collaborate across product, engineering, security, legal and business teams; at senior levels shape enterprise standards and strategy.
Dónde se trabaja
Technology companies, data/cloud platforms, financial services, consulting, shared services, product engineering and regulated enterprises adopting Data + AI.
Cómo avanza la carrera
Associate Applied Scientist → Applied Scientist → Senior Applied Scientist → Staff Applied Scientist → Principal Applied Scientist → Senior Principal Applied Scientist → Distinguished Applied Scientist
Niveles de esta carrera
Seis etapas estándar. La séptima existe solo donde la carrera la contempla.
- L1Associate Applied Scientist
- L2Applied Scientist
- L3Senior Applied Scientist
- L4Staff Applied Scientist
- L5Principal Applied Scientist
- L6Senior Principal Applied Scientist
- L7Distinguished Applied Scientist
Nivel distinguido opcional. No todas las carreras llegan acá.
Qué se espera en L4 · Staff Applied Scientist
Apply applied ai / applied science capability at leads ambiguous cross-team work through expertise without people management.
Las cinco dimensiones que cambian
- Autonomía
- Cross-team technical/professional leadership
- Alcance
- Leads ambiguous cross-team work through expertise without people management.
- Complejidad
- Complex
- Influencia
- Multiple teams
- Impacto en el negocio
- Domain/cross-team
- Ambigüedad
- High
Cómo se ve un buen desempeño
Produces trustworthy applied ai / applied science outcomes, makes sound trade-offs, communicates evidence and risks, and demonstrates the autonomy and impact expected at L4.
Evidencia típica
Completed applied ai / applied science work products or production outcomes; documented decisions; measurable improvements in quality, reliability, risk, speed, cost or business outcomes; peer/stakeholder evidence of L4 scope.
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.
Humanas10
| Humanas | P | De apoyo |
|---|---|---|
| Clear verbal communicationCommunication & Language | P4ProficientDe apoyo | Adapts Clear verbal communication to complex situations and guides peers in applying it consistently. |
| Clear written communicationCommunication & Language | P4ProficientDe apoyo | Adapts Clear written communication to complex situations and guides peers in applying it consistently. |
| CollaborationCollaboration & Relationships | P4ProficientDe apoyo | Adapts Collaboration to complex situations and guides peers in applying it consistently. |
| Critical thinkingThinking & Problem Solving | P4ProficientDe apoyo | Adapts Critical thinking to complex situations and guides peers in applying it consistently. |
| Cross-functional collaborationCollaboration & Relationships | P4ProficientDe apoyo | Adapts Cross-functional collaboration to complex situations and guides peers in applying it consistently. |
| Learning agilityExecution & Self-Management | P4ProficientDe apoyo | Adapts Learning agility to complex situations and guides peers in applying it consistently. |
| MentoringCollaboration & Relationships | P4ProficientDe apoyo | Adapts Mentoring to complex situations and guides peers in applying it consistently. |
| Stakeholder alignmentInfluence & Leadership Without Authority | P4ProficientDe apoyo | Adapts Stakeholder alignment to complex situations and guides peers in applying it consistently. |
| Strategic thinkingThinking & Problem Solving | P4ProficientDe apoyo | Adapts Strategic thinking to complex situations and guides peers in applying it consistently. |
| Structured problem solvingThinking & Problem Solving | P4ProficientDe apoyo | Adapts Structured problem solving to complex situations and guides peers in applying it consistently. |
Profesionales7
| Profesionales | P | De apoyo |
|---|---|---|
| AI evaluation governanceData & Analytics Practice | P4ProficientDe apoyo | Adapts AI evaluation governance to complex situations and guides peers in applying it consistently. |
| AI governanceData & Analytics Practice | P4ProficientDe apoyo | Adapts AI governance to complex situations and guides peers in applying it consistently. |
| Data ethicsData & Analytics Practice | P4ProficientCentral | Adapts Data ethics to complex situations and guides peers in applying it consistently. |
| Experiment designData & Analytics Practice | P4ProficientCentral | Adapts Experiment design to complex situations and guides peers in applying it consistently. |
| Model risk managementData & Analytics Practice | P4ProficientDe apoyo | Adapts Model risk management to complex situations and guides peers in applying it consistently. |
| Responsible AI principlesData & Analytics Practice | P4ProficientDe apoyo | Adapts Responsible AI principles to complex situations and guides peers in applying it consistently. |
| Statistical inferenceData & Analytics Practice | P4ProficientCentral | Adapts Statistical inference to complex situations and guides peers in applying it consistently. |
Técnicas14
| Técnicas | P | De apoyo |
|---|---|---|
| Deep learningData Science, ML & AI | P4ProficientCentral | Handles complex Deep learning implementations, optimizes outcomes and guides peers. |
| JupyterAnalytics, BI & Data Visualization | P4ProficientDe apoyo | Handles complex Jupyter implementations, optimizes outcomes and guides peers. |
| LLM evaluation and benchmarkingData Science, ML & AI | P4ProficientCentral | Handles complex LLM evaluation and benchmarking implementations, optimizes outcomes and guides peers. |
| LLM fine-tuning and PEFTData Science, ML & AI | P4ProficientCentral | Handles complex LLM fine-tuning and PEFT implementations, optimizes outcomes and guides peers. |
| Large language modelsData Science, ML & AI | P4ProficientCentral | Handles complex Large language models implementations, optimizes outcomes and guides peers. |
| Machine learningData Science, ML & AI | P4ProficientCentral | Handles complex Machine learning implementations, optimizes outcomes and guides peers. |
| Model evaluationData Science, ML & AI | P4ProficientCentral | Handles complex Model evaluation implementations, optimizes outcomes and guides peers. |
| Multimodal AIData Science, ML & AI | P4ProficientDe apoyo | Handles complex Multimodal AI implementations, optimizes outcomes and guides peers. |
| Natural language processingData Science, ML & AI | P4ProficientCentral | Handles complex Natural language processing implementations, optimizes outcomes and guides peers. |
| PyTorchData Science, ML & AI | P4ProficientDe apoyo | Handles complex PyTorch implementations, optimizes outcomes and guides peers. |
| Python data analysisAnalytics, BI & Data Visualization | P4ProficientDe apoyo | Handles complex Python data analysis implementations, optimizes outcomes and guides peers. |
| Reinforcement learning for AIData Science, ML & AI | P4ProficientDe apoyo | Handles complex Reinforcement learning for AI implementations, optimizes outcomes and guides peers. |
| Synthetic data generationData Science, ML & AI | P4ProficientDe apoyo | Handles complex Synthetic data generation implementations, optimizes outcomes and guides peers. |
| TensorFlowData Science, ML & AI | P4ProficientDe apoyo | Handles complex TensorFlow implementations, optimizes outcomes and guides peers. |
Qué cambia al pasar de L4 a L5
Moving from Staff Applied Scientist to Principal Applied Scientist means greater autonomy, complexity, scope, influence and evidence of impact—not simply more tools.
Cómo se demuestra que ya estás
Sustained evidence of operating at L5-type scope: handles representative complexity, influences expected stakeholders and produces durable measurable outcomes.
Cómo prepararse
Take on one assignment at next-level scope; seek feedback; document decisions/outcomes; mentor others where appropriate; close highest-priority skill gaps.
Carreras cercanas
Calculadas por habilidades compartidas. Es una señal para explorar, no una garantía de contratación ni de elegibilidad.
- AI Governance & Responsible AIData & Analytics13 habilidades compartidas
- AI Platform & MLOps EngineeringData & Analytics12 habilidades compartidas
- Data ScienceData & Analytics13 habilidades compartidas
- Analytics EngineeringData & Analytics10 habilidades compartidas
- Data ArchitectureData & Analytics10 habilidades compartidas
- Machine Learning EngineeringData & Analytics12 habilidades compartidas
Marco de carreras v21, activo desde 17 de agosto de 2026.