AI & Data Scientist
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Job Description
Data Scientist combining analytics and software development to enhance risk adjustment strategy at Alignment Health. Focusing on AI-powered tools for clinical documentation and improving healthcare operations.
Responsibilities:
- Own end‑to‑end solutions: translate ambiguous healthcare and operational problems into AI/ML models that deliver measurable impact by selecting methods, building data/models, deploying services, instrumenting observability, and real-world feedback loops.
- Partner with Product, Engineering, and Clinical leaders to embed data science into workflows like claims processing, utilization management, provider network optimization, risk adjustment, etc.
- Deliver clinical intelligence features such as autonomous chart review, disease detection, compliance forecasting, and quality analytics.
- Build AI/NLP/LLM models for document understanding and information extraction, including OCR, NER, and vision models.
- Advance quality and payment integrity: create models and automated QA to reduce manual review, increase accuracy, and surface documentation anomalies and audit risk.
- Champion engineering excellence: internal libraries, reusable components, coding standards, code reviews, and clear documentation.
- Own the lifecycle: monitoring, drift detection, alerting, and post‑deployment reviews.
Requirements:
- 2-5 years delivering production‑grade data science or ML software with measurable impact.
- Strong software engineering fundamentals: data structures, algorithms, modular design, API design, documentation.
- Proficiency in Python plus SQL; experience building reusable packages, utilities, and CLI tools.
- Applied knowledge of ML (tree ensembles, boosting, NLP/LLMs, deep learning) and experimental design.
- Experience with high‑volume, high‑dimensional, and unstructured data; strong data quality mindset.
- Experience with Git workflows, code reviews, CI/CD.
- Excellent data visualization and storytelling skills.
- Ability to thrive in ambiguous, fast‑paced environments.
- Preferred: Healthcare domain experience; familiarity with CMS/Medicare Advantage operations.
- Document understanding systems with OCR/NER and LLM pipelines.
- Experience with NoSQL and performance optimization.
- Contributions to internal frameworks or open‑source; published work.
Benefits:
- Health insurance
- 401(k)
- Paid time off
- Professional development opportunities
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