Principal Data Scientist
Core
Aligns customer business priorities with data science strategy, framing ambiguous problems into scalable opportunities and defining approaches that balance time-to-value, feasibility, and long-term maintainability.
Role type
Principal Data Scientist (Strategy & Technical Leadership)
Builds
Data and AI strategies for specific industries and cross-industry functions (Sales, Marketing, Operations, data monetization)
Domain
Enterprise Data Science & AI Strategy
Deliverable
production ML models | dashboards & analysis | client delivery
Required skills
Strategic problem framing, solution direction judgment, resource and risk assessment, cross-team influence, data strategy translation, experimental design, statistical rigor, technical leadership, code quality standards, operationalization patterns
Preferred skills
Deep domain expertise in emerging AI trends, creating reusable intellectual property (playbooks, architectures), influencing engineering direction
Technologies
Advanced analytics and machine learning systems
Responsibilities
Translate business strategy into data and AI strategies; lead senior customer conversations to define problems and shape solution direction; establish methodological standards for feature engineering, validation, and evaluation; provide technical leadership on code quality and production readiness; guide teams on debugging, observability, and root-cause analysis; create durable intellectual property like playbooks and reference architectures.
Seniority
Principal, strategy & mentorship