Data Scientist

The Data Scientist will combine deep analytical expertise with production‑grade software development skills to build reliable, scalable solutions on our proprietary clinical intelligence platform. You will own initiatives from problem framing to model delivery and partner with software and data engineering partners to deploy into production environments.

• 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.

• 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.
• Effective written and oral communication skills; ability to establish and maintain constructive relationships with diverse stakeholders.

• Healthcare domain experience; familiarity with CMS/Medicare Advantage operations.
• Document understanding systems with OCR/NER and LLM pipelines.
• Experience with No
  
  SQL and performance optimization.
• Contributions to internal frameworks or open‑source; published work.

• Required:
  
  Bachelor’s degree in Computer Science, Data Engineering or similar technical field.
• Preferred: MSc/PhD in CS, Engineering, Math, Statistics, or related field.

• Required:
  
  Python, SQL, Databricks (Spark, Delta Lake), MLflow, Unity Catalog, Git, CI/CD, Docker, REST/Graph
  
  QL APIs, orchestration.
• LLM & Vision: OCR, NER, embeddings.

Pay Range: $ - $. Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc.

Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation.

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