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.
- Function
- Data & Analytics
- Archetype
- Science
- Highest level
- L7 · Distinguished Applied Scientist
Why it exists
Applies scientific methods and advanced AI/ML research to product and business problems, bridging experimentation and production impact.
Typical responsibilities
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.
Where the work happens
Technology companies, data/cloud platforms, financial services, consulting, shared services, product engineering and regulated enterprises adopting Data + AI.
How the career progresses
Associate Applied Scientist → Applied Scientist → Senior Applied Scientist → Staff Applied Scientist → Principal Applied Scientist → Senior Principal Applied Scientist → Distinguished Applied Scientist
Levels in this career
Six standard stages. The seventh exists only where the career provides for it.
- L1Associate Applied Scientist
- L2Applied Scientist
- L3Senior Applied Scientist
- L4Staff Applied Scientist
- L5Principal Applied Scientist
- L6Senior Principal Applied Scientist
- L7Distinguished Applied Scientist
Optional distinguished level. Not every career reaches it.
What is expected at L6 · Senior Principal Applied Scientist
Apply applied ai / applied science capability at acts as an enterprise expert influencing multiple domains and major outcomes.
The five dimensions that change
- Autonomy
- Enterprise authority
- Scope
- Acts as an enterprise expert influencing multiple domains and major outcomes.
- Complexity
- Systemic
- Influence
- Enterprise / industry
- Business impact
- Enterprise / industry
- Ambiguity
- High
What good looks like
Produces trustworthy applied ai / applied science outcomes, makes sound trade-offs, communicates evidence and risks, and demonstrates the autonomy and impact expected at L6.
Typical evidence
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.
Skills expected at L6
Grouped as human, professional and technical. Target proficiency uses the P1–P7 scale, and each row says what that level means for that particular skill.
Human10
| Human | P | Supporting |
|---|---|---|
| Clear verbal communicationCommunication & Language | P6ExpertSupporting | Sets enterprise direction for Clear verbal communication and integrates it into governance and strategy. |
| Clear written communicationCommunication & Language | P6ExpertSupporting | Sets enterprise direction for Clear written communication and integrates it into governance and strategy. |
| CollaborationCollaboration & Relationships | P6ExpertSupporting | Sets enterprise direction for Collaboration and integrates it into governance and strategy. |
| Critical thinkingThinking & Problem Solving | P6ExpertSupporting | Sets enterprise direction for Critical thinking and integrates it into governance and strategy. |
| Cross-functional collaborationCollaboration & Relationships | P6ExpertSupporting | Sets enterprise direction for Cross-functional collaboration and integrates it into governance and strategy. |
| Learning agilityExecution & Self-Management | P6ExpertSupporting | Sets enterprise direction for Learning agility and integrates it into governance and strategy. |
| MentoringCollaboration & Relationships | P6ExpertSupporting | Sets enterprise direction for Mentoring and integrates it into governance and strategy. |
| Stakeholder alignmentInfluence & Leadership Without Authority | P6ExpertSupporting | Sets enterprise direction for Stakeholder alignment and integrates it into governance and strategy. |
| Strategic thinkingThinking & Problem Solving | P6ExpertSupporting | Sets enterprise direction for Strategic thinking and integrates it into governance and strategy. |
| Structured problem solvingThinking & Problem Solving | P6ExpertSupporting | Sets enterprise direction for Structured problem solving and integrates it into governance and strategy. |
Professional7
| Professional | P | Supporting |
|---|---|---|
| AI evaluation governanceData & Analytics Practice | P6ExpertSupporting | Sets enterprise direction for AI evaluation governance and integrates it into governance and strategy. |
| AI governanceData & Analytics Practice | P6ExpertSupporting | Sets enterprise direction for AI governance and integrates it into governance and strategy. |
| Data ethicsData & Analytics Practice | P6ExpertCore | Sets enterprise direction for Data ethics and integrates it into governance and strategy. |
| Experiment designData & Analytics Practice | P6ExpertCore | Sets enterprise direction for Experiment design and integrates it into governance and strategy. |
| Model risk managementData & Analytics Practice | P6ExpertSupporting | Sets enterprise direction for Model risk management and integrates it into governance and strategy. |
| Responsible AI principlesData & Analytics Practice | P6ExpertSupporting | Sets enterprise direction for Responsible AI principles and integrates it into governance and strategy. |
| Statistical inferenceData & Analytics Practice | P6ExpertCore | Sets enterprise direction for Statistical inference and integrates it into governance and strategy. |
Technical14
| Technical | P | Supporting |
|---|---|---|
| Deep learningData Science, ML & AI | P6ExpertCore | Sets enterprise technical standards for Deep learning and shapes platform or architecture direction. |
| JupyterAnalytics, BI & Data Visualization | P6ExpertSupporting | Sets enterprise technical standards for Jupyter and shapes platform or architecture direction. |
| LLM evaluation and benchmarkingData Science, ML & AI | P6ExpertCore | Sets enterprise technical standards for LLM evaluation and benchmarking and shapes platform or architecture direction. |
| LLM fine-tuning and PEFTData Science, ML & AI | P6ExpertCore | Sets enterprise technical standards for LLM fine-tuning and PEFT and shapes platform or architecture direction. |
| Large language modelsData Science, ML & AI | P6ExpertCore | Sets enterprise technical standards for Large language models and shapes platform or architecture direction. |
| Machine learningData Science, ML & AI | P6ExpertCore | Sets enterprise technical standards for Machine learning and shapes platform or architecture direction. |
| Model evaluationData Science, ML & AI | P6ExpertCore | Sets enterprise technical standards for Model evaluation and shapes platform or architecture direction. |
| Multimodal AIData Science, ML & AI | P6ExpertSupporting | Sets enterprise technical standards for Multimodal AI and shapes platform or architecture direction. |
| Natural language processingData Science, ML & AI | P6ExpertCore | Sets enterprise technical standards for Natural language processing and shapes platform or architecture direction. |
| PyTorchData Science, ML & AI | P6ExpertSupporting | Sets enterprise technical standards for PyTorch and shapes platform or architecture direction. |
| Python data analysisAnalytics, BI & Data Visualization | P6ExpertSupporting | Sets enterprise technical standards for Python data analysis and shapes platform or architecture direction. |
| Reinforcement learning for AIData Science, ML & AI | P6ExpertSupporting | Sets enterprise technical standards for Reinforcement learning for AI and shapes platform or architecture direction. |
| Synthetic data generationData Science, ML & AI | P6ExpertSupporting | Sets enterprise technical standards for Synthetic data generation and shapes platform or architecture direction. |
| TensorFlowData Science, ML & AI | P6ExpertSupporting | Sets enterprise technical standards for TensorFlow and shapes platform or architecture direction. |
What changes from L6 to 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.
How readiness is shown
Sustained evidence of operating at L7-type scope: handles representative complexity, influences expected stakeholders and produces durable measurable outcomes.
How to prepare
Take on one assignment at next-level scope; seek feedback; document decisions/outcomes; mentor others where appropriate; close highest-priority skill gaps.
Adjacent careers
Computed from shared skills. It is a signal for exploring, not a hiring or eligibility guarantee.
- AI Governance & Responsible AIData & Analytics13 shared skills
- AI Platform & MLOps EngineeringData & Analytics12 shared skills
- Data ScienceData & Analytics13 shared skills
- Analytics EngineeringData & Analytics10 shared skills
- Data ArchitectureData & Analytics10 shared skills
- Machine Learning EngineeringData & Analytics12 shared skills
Career framework v21, active since August 17, 2026.