Data Science
Data Science is an individual-contributor career path within Data & Analytics. Professionals progress from guided execution to independent delivery, senior problem solving, cross-team leadership and enterprise-level expertise without requiring people management.
- Function
- Data & Analytics
- Archetype
- Science
- Highest level
- L7 · Distinguished Data Scientist
Why it exists
Enables the organization to deliver reliable outcomes in data science by building progressively deeper expertise, judgment, ownership and business impact.
Typical responsibilities
Execute discipline-specific work; apply professional standards; solve increasingly complex problems; collaborate with stakeholders; improve quality and efficiency; share expertise; at senior levels, shape practices and decisions beyond the immediate team.
Where the work happens
Common in Data & Analytics teams across technology companies, shared-services organizations, consulting firms, multinational operations and other employers that require data science capability.
How the career progresses
Associate Data Scientist → Data Scientist → Senior Data Scientist → Staff Data Scientist → Principal Data Scientist → Senior Principal Data Scientist → Distinguished Data Scientist
Levels in this career
Six standard stages. The seventh exists only where the career provides for it.
- L1Associate Data Scientist
- L2Data Scientist
- L3Senior Data Scientist
- L4Staff Data Scientist
- L5Principal Data Scientist
- L6Senior Principal Data Scientist
- L7Distinguished Data Scientist
Optional distinguished level. Not every career reaches it.
What is expected at L4 · Staff Data Scientist
Leads complex cross-team work through expertise without direct people management. The focus is successful individual contribution at this stage, not people management.
The five dimensions that change
- Autonomy
- Leads through expertise with little direction.
- Scope
- Multiple projects/teams or a broad domain.
- Complexity
- High complexity, dependencies and competing constraints.
- Influence
- Cross-team and senior stakeholder influence.
- Business impact
- Shapes practices and materially improves multi-team outcomes.
- Ambiguity
- High.
What good looks like
Staff Data Scientist consistently demonstrates the expected autonomy and judgment for L4, delivers outcomes appropriate to the scope of the role, applies required Human, Professional and Technical skills at the mapped proficiency, and produces evidence of impact rather than relying on tenure alone.
Typical evidence
Completed work with measurable quality/outcome; stakeholder feedback; examples of problems solved and decisions made; reusable artifacts or improvements; demonstrated skill proficiency; mentoring/influence evidence at senior levels.
Skills expected at L4
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.
Human18
| Human | P | Supporting |
|---|---|---|
| AccountabilityExecution & Self-Management | P5AdvancedCore | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Active listeningCommunication & Language | P5AdvancedCore | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| AdaptabilityExecution & Self-Management | P5AdvancedCore | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Clear verbal communicationCommunication & Language | P5AdvancedCore | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Clear written communicationCommunication & Language | P5AdvancedCore | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| CollaborationCollaboration & Relationships | P5AdvancedCore | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Continuous learningExecution & Self-Management | P5AdvancedCore | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Critical thinkingThinking & Problem Solving | P5AdvancedCore | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Cross-functional collaborationCollaboration & Relationships | P5AdvancedCore | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Decision makingThinking & Problem Solving | P5AdvancedCore | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Influencing without authorityInfluence & Leadership Without Authority | P5AdvancedCore | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| ProfessionalismEthics & Professional Conduct | P5AdvancedCore | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Stakeholder alignmentInfluence & Leadership Without Authority | P5AdvancedCore | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Structured problem solvingThinking & Problem Solving | P5AdvancedCore | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Time managementExecution & Self-Management | P5AdvancedCore | Recognized advanced practitioner who defines approaches and solves ambiguous cross-team problems. |
| Giving constructive feedbackCommunication & Language | P4ProficientSupporting | Handles complex situations, adapts methods and guides peers in the skill. |
| Knowledge sharingCollaboration & Relationships | P4ProficientSupporting | Handles complex situations, adapts methods and guides peers in the skill. |
| MentoringCollaboration & Relationships | P4ProficientSupporting | Handles complex situations, adapts methods and guides peers in the skill. |
Professional10
| Professional | P | Supporting |
|---|---|---|
| Data ethicsData & Analytics Practice | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
| Data product managementData & Analytics Practice | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
| Data protection impact assessmentsCybersecurity, Privacy & Data Governance Standards | P4ProficientSupporting | Handles complex situations, adapts methods and guides peers in the skill. |
| Data quality managementCybersecurity, Privacy & Data Governance Standards | P4ProficientSupporting | Handles complex situations, adapts methods and guides peers in the skill. |
| Data stewardshipCybersecurity, Privacy & Data Governance Standards | P4ProficientSupporting | Handles complex situations, adapts methods and guides peers in the skill. |
| Data storytellingData & Analytics Practice | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
| Schedule managementProject, Program & Portfolio Management | P4ProficientSupporting | Handles complex situations, adapts methods and guides peers in the skill. |
| ScrumAgile, Product & Delivery Methods | P4ProficientSupporting | Handles complex situations, adapts methods and guides peers in the skill. |
| User story definitionAgile, Product & Delivery Methods | P4ProficientSupporting | Handles complex situations, adapts methods and guides peers in the skill. |
| Value stream managementAgile, Product & Delivery Methods | P4ProficientSupporting | Handles complex situations, adapts methods and guides peers in the skill. |
Technical8
| Technical | P | Supporting |
|---|---|---|
| Data modelingDatabases & Data Platforms | P4ProficientSupporting | Handles complex situations, adapts methods and guides peers in the skill. |
| Data visualization implementationAnalytics, BI & Data Visualization | P4ProficientSupporting | Handles complex situations, adapts methods and guides peers in the skill. |
| Machine learningData Science, ML & AI | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
| Python data analysisAnalytics, BI & Data Visualization | P4ProficientSupporting | Handles complex situations, adapts methods and guides peers in the skill. |
| SQL analyticsAnalytics, BI & Data Visualization | P4ProficientSupporting | Handles complex situations, adapts methods and guides peers in the skill. |
| ScalaProgramming Languages | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
| Supervised learningData Science, ML & AI | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
| Unsupervised learningData Science, ML & AI | P4ProficientCore | Handles complex situations, adapts methods and guides peers in the skill. |
What changes from L4 to L5
Moving from Staff Data Scientist to Principal Data Scientist means demonstrating sustained performance at a larger scope with greater autonomy, complexity, influence and business impact—not simply spending more time in role.
How readiness is shown
Repeatedly performs key aspects of Principal Data Scientist before promotion; demonstrates the required skill increases; handles highly complex/systemic problems.; receives credible stakeholder evidence; shows measurable outcomes at the next-level scope.
How to prepare
Take stretch assignments at the next-level scope; deepen the listed skill gaps; seek feedback from experienced practitioners; document measurable outcomes and decisions; mentor/share knowledge where appropriate; pursue relevant learning or certification when it strengthens capability.
Adjacent careers
Computed from shared skills. It is a signal for exploring, not a hiring or eligibility guarantee.
- AI / Generative AI EngineeringData & Analytics51 shared skills
- Data EngineeringData & Analytics50 shared skills
- Machine Learning EngineeringData & Analytics48 shared skills
- Data AnalyticsData & Analytics50 shared skills
- Business IntelligenceData & Analytics50 shared skills
- Data Governance & StewardshipData & Analytics42 shared skills
Career framework v21, active since August 17, 2026.