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.

  1. L1Associate Applied Scientist
  2. L2Applied Scientist
  3. L3Senior Applied Scientist
  4. L4Staff Applied Scientist
  5. L5Principal Applied Scientist
  6. L6Senior Principal Applied Scientist
  7. L7Distinguished Applied Scientist

Nivel distinguido opcional. No todas las carreras llegan acá.

Qué se espera en L3 · Senior Applied Scientist

Apply applied ai / applied science capability at handles complex work, mentors others and influences team-level outcomes.

Las cinco dimensiones que cambian

Autonomía
Independent complex ownership
Alcance
Handles complex work, mentors others and influences team-level outcomes.
Complejidad
Complex
Influencia
Multiple teams
Impacto en el negocio
Domain/cross-team
Ambigüedad
Moderate

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 L3.

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 L3 scope.

Habilidades esperadas en L3

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.

Humanas8

HumanasPDe apoyo
Clear verbal communicationCommunication & LanguageP3WorkingDe apoyoApplies Clear verbal communication independently in normal and moderately complex situations.
Clear written communicationCommunication & LanguageP3WorkingDe apoyoApplies Clear written communication independently in normal and moderately complex situations.
CollaborationCollaboration & RelationshipsP3WorkingDe apoyoApplies Collaboration independently in normal and moderately complex situations.
Critical thinkingThinking & Problem SolvingP3WorkingDe apoyoApplies Critical thinking independently in normal and moderately complex situations.
Cross-functional collaborationCollaboration & RelationshipsP3WorkingDe apoyoApplies Cross-functional collaboration independently in normal and moderately complex situations.
Learning agilityExecution & Self-ManagementP3WorkingDe apoyoApplies Learning agility independently in normal and moderately complex situations.
Stakeholder alignmentInfluence & Leadership Without AuthorityP3WorkingDe apoyoApplies Stakeholder alignment independently in normal and moderately complex situations.
Structured problem solvingThinking & Problem SolvingP3WorkingDe apoyoApplies Structured problem solving independently in normal and moderately complex situations.

Profesionales7

ProfesionalesPDe apoyo
AI evaluation governanceData & Analytics PracticeP3WorkingDe apoyoApplies AI evaluation governance independently in normal and moderately complex situations.
AI governanceData & Analytics PracticeP3WorkingDe apoyoApplies AI governance independently in normal and moderately complex situations.
Data ethicsData & Analytics PracticeP3WorkingCentralApplies Data ethics independently in normal and moderately complex situations.
Experiment designData & Analytics PracticeP3WorkingCentralApplies Experiment design independently in normal and moderately complex situations.
Model risk managementData & Analytics PracticeP3WorkingDe apoyoApplies Model risk management independently in normal and moderately complex situations.
Responsible AI principlesData & Analytics PracticeP3WorkingDe apoyoApplies Responsible AI principles independently in normal and moderately complex situations.
Statistical inferenceData & Analytics PracticeP3WorkingCentralApplies Statistical inference independently in normal and moderately complex situations.

Técnicas12

TécnicasPDe apoyo
Deep learningData Science, ML & AIP3WorkingCentralApplies Deep learning independently in normal production scenarios and troubleshoots common issues.
LLM evaluation and benchmarkingData Science, ML & AIP3WorkingCentralApplies LLM evaluation and benchmarking independently in normal production scenarios and troubleshoots common issues.
LLM fine-tuning and PEFTData Science, ML & AIP3WorkingDe apoyoApplies LLM fine-tuning and PEFT independently in normal production scenarios and troubleshoots common issues.
Large language modelsData Science, ML & AIP3WorkingCentralApplies Large language models independently in normal production scenarios and troubleshoots common issues.
Machine learningData Science, ML & AIP3WorkingCentralApplies Machine learning independently in normal production scenarios and troubleshoots common issues.
Model evaluationData Science, ML & AIP3WorkingCentralApplies Model evaluation independently in normal production scenarios and troubleshoots common issues.
Multimodal AIData Science, ML & AIP3WorkingDe apoyoApplies Multimodal AI independently in normal production scenarios and troubleshoots common issues.
Natural language processingData Science, ML & AIP3WorkingCentralApplies Natural language processing independently in normal production scenarios and troubleshoots common issues.
PyTorchData Science, ML & AIP3WorkingDe apoyoApplies PyTorch independently in normal production scenarios and troubleshoots common issues.
Reinforcement learning for AIData Science, ML & AIP3WorkingDe apoyoApplies Reinforcement learning for AI independently in normal production scenarios and troubleshoots common issues.
Synthetic data generationData Science, ML & AIP3WorkingDe apoyoApplies Synthetic data generation independently in normal production scenarios and troubleshoots common issues.
TensorFlowData Science, ML & AIP3WorkingDe apoyoApplies TensorFlow independently in normal production scenarios and troubleshoots common issues.

Qué cambia al pasar de L3 a L4

Moving from Senior Applied Scientist to Staff 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 L4-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.

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