TecHub

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.

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.

Qué se espera en L5 · Principal Applied Scientist

Apply applied ai / applied science capability at shapes standards, architecture or operating practice across a broad domain.

Las cinco dimensiones que cambian

Autonomía
Domain-wide authority
Alcance
Shapes standards, architecture or operating practice across a broad domain.
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 L5.

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 L5 scope.

Habilidades esperadas en L5

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

HumanasPDe apoyo
Clear verbal communicationCommunication & LanguageP5AdvancedDe apoyoDefines advanced approaches for Clear verbal communication and shapes standards across a domain.
Clear written communicationCommunication & LanguageP5AdvancedDe apoyoDefines advanced approaches for Clear written communication and shapes standards across a domain.
CollaborationCollaboration & RelationshipsP5AdvancedDe apoyoDefines advanced approaches for Collaboration and shapes standards across a domain.
Critical thinkingThinking & Problem SolvingP5AdvancedDe apoyoDefines advanced approaches for Critical thinking and shapes standards across a domain.
Cross-functional collaborationCollaboration & RelationshipsP5AdvancedDe apoyoDefines advanced approaches for Cross-functional collaboration and shapes standards across a domain.
Learning agilityExecution & Self-ManagementP5AdvancedDe apoyoDefines advanced approaches for Learning agility and shapes standards across a domain.
MentoringCollaboration & RelationshipsP5AdvancedDe apoyoDefines advanced approaches for Mentoring and shapes standards across a domain.
Stakeholder alignmentInfluence & Leadership Without AuthorityP5AdvancedDe apoyoDefines advanced approaches for Stakeholder alignment and shapes standards across a domain.
Strategic thinkingThinking & Problem SolvingP5AdvancedDe apoyoDefines advanced approaches for Strategic thinking and shapes standards across a domain.
Structured problem solvingThinking & Problem SolvingP5AdvancedDe apoyoDefines advanced approaches for Structured problem solving and shapes standards across a domain.

Profesionales7

ProfesionalesPDe apoyo
AI evaluation governanceData & Analytics PracticeP5AdvancedDe apoyoDefines advanced approaches for AI evaluation governance and shapes standards across a domain.
AI governanceData & Analytics PracticeP5AdvancedDe apoyoDefines advanced approaches for AI governance and shapes standards across a domain.
Data ethicsData & Analytics PracticeP5AdvancedCentralDefines advanced approaches for Data ethics and shapes standards across a domain.
Experiment designData & Analytics PracticeP5AdvancedCentralDefines advanced approaches for Experiment design and shapes standards across a domain.
Model risk managementData & Analytics PracticeP5AdvancedDe apoyoDefines advanced approaches for Model risk management and shapes standards across a domain.
Responsible AI principlesData & Analytics PracticeP5AdvancedDe apoyoDefines advanced approaches for Responsible AI principles and shapes standards across a domain.
Statistical inferenceData & Analytics PracticeP5AdvancedCentralDefines advanced approaches for Statistical inference and shapes standards across a domain.

Técnicas14

TécnicasPDe apoyo
Deep learningData Science, ML & AIP5AdvancedCentralDesigns advanced approaches using Deep learning and establishes reusable patterns across teams.
JupyterAnalytics, BI & Data VisualizationP5AdvancedDe apoyoDesigns advanced approaches using Jupyter and establishes reusable patterns across teams.
LLM evaluation and benchmarkingData Science, ML & AIP5AdvancedCentralDesigns advanced approaches using LLM evaluation and benchmarking and establishes reusable patterns across teams.
LLM fine-tuning and PEFTData Science, ML & AIP5AdvancedCentralDesigns advanced approaches using LLM fine-tuning and PEFT and establishes reusable patterns across teams.
Large language modelsData Science, ML & AIP5AdvancedCentralDesigns advanced approaches using Large language models and establishes reusable patterns across teams.
Machine learningData Science, ML & AIP5AdvancedCentralDesigns advanced approaches using Machine learning and establishes reusable patterns across teams.
Model evaluationData Science, ML & AIP5AdvancedCentralDesigns advanced approaches using Model evaluation and establishes reusable patterns across teams.
Multimodal AIData Science, ML & AIP5AdvancedDe apoyoDesigns advanced approaches using Multimodal AI and establishes reusable patterns across teams.
Natural language processingData Science, ML & AIP5AdvancedCentralDesigns advanced approaches using Natural language processing and establishes reusable patterns across teams.
PyTorchData Science, ML & AIP5AdvancedDe apoyoDesigns advanced approaches using PyTorch and establishes reusable patterns across teams.
Python data analysisAnalytics, BI & Data VisualizationP5AdvancedDe apoyoDesigns advanced approaches using Python data analysis and establishes reusable patterns across teams.
Reinforcement learning for AIData Science, ML & AIP5AdvancedDe apoyoDesigns advanced approaches using Reinforcement learning for AI and establishes reusable patterns across teams.
Synthetic data generationData Science, ML & AIP5AdvancedDe apoyoDesigns advanced approaches using Synthetic data generation and establishes reusable patterns across teams.
TensorFlowData Science, ML & AIP5AdvancedDe apoyoDesigns advanced approaches using TensorFlow and establishes reusable patterns across teams.

Qué cambia al pasar de L5 a L6

Moving from Principal Applied Scientist to Senior 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 L6-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.

Marco de carreras v21, activo desde 17 de agosto de 2026.