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Data Scientist

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Level 01Query Intent DecompositionBreaking down ambiguous search queries into constituent information needs

Level 02Experiment Design RigorDesigning controls to isolate causal effects in online systems

Level 03Metric Selection JudgmentChoosing primary metrics that align with business outcomes over vanity metrics

Level 19Stakeholder Risk CommunicationArticulating statistical uncertainty to non-technical decision-makers

Level 20Production Model ResilienceDesigning monitoring systems that detect model failures before user impact

Level 01Data Foundation BuilderIdentify relevant data sources for business questions

Level 02Exploratory Pattern RecognitionDetect anomalies and trends in raw datasets

Level 03Statistical Rigor ValidatorSelect appropriate statistical tests for hypotheses

Level 19Advanced Experimentation VisionaryDesign multi-armed bandit experiments for continuous optimization

Level 20Data Science Strategy LeaderShape data science roadmap aligned with company-wide priorities

Level 01Data FoundationStructuring Ambiguous Business Questions

Level 02Metrics MasteryDesigning Customer-Centric KPIs

Level 03Analytics PipelineOptimizing Data Ingestion Workflows

Level 19Algorithmic Decision-MakingAuditing Algorithms for Fairness and Bias

Level 20Principal ArchitectArchitecting Data Science Vision for Multi-Billion Dollar Divisions

Level 01AWS Service Fundamentalsidentify core AWS services

Level 02Customer Problem Discoverygather business requirements

Level 03Solution Design Basicsmap requirements to services

Level 19Enterprise Partner Strategycoordinate multi-team initiatives

Level 20AWS Global Solutions Visionenvision cross-regional architectures

Level 01Issue Tree FramingHypothesis Decomposition

Level 02Client Situation DiagnosisSymptom-to-Driver Mapping

Level 03Evidence Sufficiency TestingConfidence Threshold Judgment

Level 19Implementation Governance DesignMilestone Dependency Sequencing

Level 20Client Embedded AdvisingReal-Time Decision Support

Level 01Problem Decomposition FundamentalsBreaking complex business challenges into discrete, testable hypotheses

Level 02Client Context MappingExtracting implicit competitive pressures from client narrative

Level 03Data Architecture ReasoningDetermining which data sources validate or invalidate strategic hypotheses

Level 19Ecosystem Value CaptureAssessing platform leverage potential through network effects and switching cost dynamics

Level 20Transformation Impact MeasurementDesigning baseline-versus-counterfactual metrics to isolate intervention effects from confounding variables