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Seeking an applied workforce scientist who combines advanced quantitative methods, employee listening analytics expertise, and business judgment to reveal how employees experience the organization and what most influences engagement, culture, retention, and organizational health.
Base Pay Range for this position $122,100 - $162,800
Lead data analysis and AI-driven insights for Apple’s APAC Retail Executive Relations team, driving trend detection and operational efficiency across the region.
Technical Skills & Technologies Languages & Query • SQL- data profiling, validation rules, quality checks, large-scale dataset analysis • Python - automation, ML/AI techniques, scripting, pipeline development Data Quality & Governance • Data quality frameworks (Great Expectations, dbt tests) augmented with ML/LLM • Data governance practices (metadata management, lineage review, issue tracking) • Data stewardship, remediation workflows, and automated quality monitoring pipelines • Data lineage and impact analysis • Data completeness and reliability measurement ML/AI for Data Quality • Supervised learning - classification models to flag bad records (e.g., mislabeled diagnosis codes, incorrect attributions) • Unsupervised learning - clustering to detect outliers, unusual patterns, and grouping anomalies in clinical data • Anomaly detection - model-driven (Isolation Forest, LOF, One-Class SVM) • Data drift monitoring - statistical process control (KS test, PSI, Jensen-Shannon divergence) • NLP / Text Analytics - parsing unstructured clinical notes, extracting entities, detecting coding inconsistencies • Record linkage / Entity resolution - ML-based deduplication using probabilistic matching (e.g., patient matching across systems) • Pattern recognition and root cause analysis AI Frameworks & Libraries • scikit-learn - anomaly detection, clustering, classification • PyOD - outlier detection • TensorFlow / PyTorch - deep learning for complex pattern recognition in large clinical datasets • LLMs (GPT, Claude, etc.) - automated root cause summarization, natural language quality reports, code review assistance Dash boarding & Reporting • Alerting and monitoring dashboards (Tableau, Power BI, Streamlit, or similar) • Data quality trend reporting and operational risk communication Healthcare Domain Knowledge • Healthcare coding systems (ICD, CPT, HCPCS) • Member attribution logic • Clinical quality measures (HEDIS, Stars) • Interoperability data (HL7, FHIR) • Payer/provider/clinical/population health datasets