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 L6 · Senior Principal Applied Scientist
Apply applied ai / applied science capability at acts as an enterprise expert influencing multiple domains and major outcomes.
Las cinco dimensiones que cambian
- Autonomía
- Enterprise authority
- Alcance
- Acts as an enterprise expert influencing multiple domains and major outcomes.
- Complejidad
- Systemic
- Influencia
- Enterprise / industry
- Impacto en el negocio
- Enterprise / industry
- 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 L6.
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 L6 scope.
Habilidades esperadas en L6
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 | P6ExpertDe apoyo | Sets enterprise direction for Clear verbal communication and integrates it into governance and strategy. |
| Clear written communicationCommunication & Language | P6ExpertDe apoyo | Sets enterprise direction for Clear written communication and integrates it into governance and strategy. |
| CollaborationCollaboration & Relationships | P6ExpertDe apoyo | Sets enterprise direction for Collaboration and integrates it into governance and strategy. |
| Critical thinkingThinking & Problem Solving | P6ExpertDe apoyo | Sets enterprise direction for Critical thinking and integrates it into governance and strategy. |
| Cross-functional collaborationCollaboration & Relationships | P6ExpertDe apoyo | Sets enterprise direction for Cross-functional collaboration and integrates it into governance and strategy. |
| Learning agilityExecution & Self-Management | P6ExpertDe apoyo | Sets enterprise direction for Learning agility and integrates it into governance and strategy. |
| MentoringCollaboration & Relationships | P6ExpertDe apoyo | Sets enterprise direction for Mentoring and integrates it into governance and strategy. |
| Stakeholder alignmentInfluence & Leadership Without Authority | P6ExpertDe apoyo | Sets enterprise direction for Stakeholder alignment and integrates it into governance and strategy. |
| Strategic thinkingThinking & Problem Solving | P6ExpertDe apoyo | Sets enterprise direction for Strategic thinking and integrates it into governance and strategy. |
| Structured problem solvingThinking & Problem Solving | P6ExpertDe apoyo | Sets enterprise direction for Structured problem solving and integrates it into governance and strategy. |
Profesionales7
| Profesionales | P | De apoyo |
|---|---|---|
| AI evaluation governanceData & Analytics Practice | P6ExpertDe apoyo | Sets enterprise direction for AI evaluation governance and integrates it into governance and strategy. |
| AI governanceData & Analytics Practice | P6ExpertDe apoyo | Sets enterprise direction for AI governance and integrates it into governance and strategy. |
| Data ethicsData & Analytics Practice | P6ExpertCentral | Sets enterprise direction for Data ethics and integrates it into governance and strategy. |
| Experiment designData & Analytics Practice | P6ExpertCentral | Sets enterprise direction for Experiment design and integrates it into governance and strategy. |
| Model risk managementData & Analytics Practice | P6ExpertDe apoyo | Sets enterprise direction for Model risk management and integrates it into governance and strategy. |
| Responsible AI principlesData & Analytics Practice | P6ExpertDe apoyo | Sets enterprise direction for Responsible AI principles and integrates it into governance and strategy. |
| Statistical inferenceData & Analytics Practice | P6ExpertCentral | Sets enterprise direction for Statistical inference and integrates it into governance and strategy. |
Técnicas14
| Técnicas | P | De apoyo |
|---|---|---|
| Deep learningData Science, ML & AI | P6ExpertCentral | Sets enterprise technical standards for Deep learning and shapes platform or architecture direction. |
| JupyterAnalytics, BI & Data Visualization | P6ExpertDe apoyo | Sets enterprise technical standards for Jupyter and shapes platform or architecture direction. |
| LLM evaluation and benchmarkingData Science, ML & AI | P6ExpertCentral | Sets enterprise technical standards for LLM evaluation and benchmarking and shapes platform or architecture direction. |
| LLM fine-tuning and PEFTData Science, ML & AI | P6ExpertCentral | Sets enterprise technical standards for LLM fine-tuning and PEFT and shapes platform or architecture direction. |
| Large language modelsData Science, ML & AI | P6ExpertCentral | Sets enterprise technical standards for Large language models and shapes platform or architecture direction. |
| Machine learningData Science, ML & AI | P6ExpertCentral | Sets enterprise technical standards for Machine learning and shapes platform or architecture direction. |
| Model evaluationData Science, ML & AI | P6ExpertCentral | Sets enterprise technical standards for Model evaluation and shapes platform or architecture direction. |
| Multimodal AIData Science, ML & AI | P6ExpertDe apoyo | Sets enterprise technical standards for Multimodal AI and shapes platform or architecture direction. |
| Natural language processingData Science, ML & AI | P6ExpertCentral | Sets enterprise technical standards for Natural language processing and shapes platform or architecture direction. |
| PyTorchData Science, ML & AI | P6ExpertDe apoyo | Sets enterprise technical standards for PyTorch and shapes platform or architecture direction. |
| Python data analysisAnalytics, BI & Data Visualization | P6ExpertDe apoyo | Sets enterprise technical standards for Python data analysis and shapes platform or architecture direction. |
| Reinforcement learning for AIData Science, ML & AI | P6ExpertDe apoyo | Sets enterprise technical standards for Reinforcement learning for AI and shapes platform or architecture direction. |
| Synthetic data generationData Science, ML & AI | P6ExpertDe apoyo | Sets enterprise technical standards for Synthetic data generation and shapes platform or architecture direction. |
| TensorFlowData Science, ML & AI | P6ExpertDe apoyo | Sets enterprise technical standards for TensorFlow and shapes platform or architecture direction. |
Qué cambia al pasar de L6 a L7
Moving from Senior Principal Applied Scientist to Distinguished 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 L7-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.