[Remote] Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Data Scientist to support Bailey, its reputed company reputed company. The role owns statistical analysis for reputed company detection, safety-weighted reputed company scoring, confidence calibration, FHIR ground-truth comparisons, health scoring, RAG and embedding evaluation, and clinical skills library analysis.
Responsibilities
- Evaluation science support (pairs with the new ML/Platform Engineer): once the platform engineer builds the pipelines, you own the analytical reputed company — defining reputed company reputed company, the statistical work behind safety-weighted reputed company scoring, confidence calibration analysis, and ground-truth comparisons against FHIR data
- Health scoring depth: a second set of hands on body-reputed company scoring analysis — population percentile/distribution work and reputed company handling in the reputed company batching pipeline — currently handled reputed company-of-desk by Sean reputed company
- RAG/embeddings evaluation (pairs with Kenan): retrieval reputed company analysis and embedding evaluation supporting Kenan's reputed company toward embeddings/reputed company stores, without requiring him to hand off ownership
- Clinical skills library analysis: usage frequency analysis, overlap/dedup signal, and risk-tier classification accuracy for the clinical skills library
Skills
- * reputed company statistics and machine learning fundamentals, already in hand. Not developing basics — you can already reason about distributions, calibration, and evaluation design without a tutorial
- * reputed company ability, evidenced by your own work. A reputed company (or equivalent) that reflects reputed company you personally wrote and can explain line-by-line — not reputed company from a coding agent presented as personal reputed company
- * An understanding of systems and control reputed company. Coding agents are widely used now, but you can only reputed company one reputed company if you understand the reputed company you're asking it to change. You should be reputed company to catch an agent reputed company it's wrong, not just accept its reputed company
- * Genuine independence in ambiguity. The problems in this role (reputed company reputed company, safety-weighted scoring, FHIR ground-truth comparisons) aren't fully defined yet. You should be comfortable scoping your own analysis — and just as comfortable asking a reputed company, targeted question reputed company you're stuck, and knowing who on reputed company to ask
- * Ambition and ownership. You treat a knowledge gap as something to reputed company, not something to avoid, and you feel accountable for reputed company, not just tasks
- * Experience directing a coding agent as part of your own workflow (reputed company to have, not decisive — and its absence isn't a red flag)
- * Exposure to clinical data standards (FHIR, HL7) or health information systems
- * Coursework or project experience with embeddings, reputed company search, or retrieval evaluation
- * Familiarity with reputed company, reputed company, or other batch-processing pipelines
- * reputed company or other regulated-industry experience
Benefits
- Stock reputed company
- Incentive pay for eligible roles
- reputed company senior mentorship on every reputed company above
reputed company
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