Senior AI & Data Scientist
Posted 3hrs ago
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Job Description
Senior AI and data scientist architecting production ML solutions for Alignment Health’s senior-care platform. Driving healthcare analytics, deployment, and technical mentorship.
Responsibilities:
- Architect end-to-end AI/ML solutions for complex healthcare challenges, including risk stratification, clinical decision support, autonomous chart review, and fraud detection
- Design and deliver production-grade machine learning systems processing millions of healthcare transactions
- Own the full ML lifecycle from experimentation and validation through deployment, monitoring, drift detection, and continuous improvement
- Establish instrumentation, observability, alerting, and feedback loops for production model performance and reliability
- Research and apply state-of-the-art deep learning, NLP/LLMs, computer vision, and causal inference methods
- Champion engineering best practices including code quality, testing, documentation, reusability, and maintainability
- Collaborate with Product, Clinical, Operations, and Compliance teams to identify high-value AI opportunities
- Translate technical concepts into business narratives for executive audiences and influence product and technology decisions
- Mentor data scientists through code reviews, architectural discussions, pair programming, presentations, and documentation
- Conduct technical interviews and model best practices in analytical rigor and problem-solving
Requirements:
- 5-8 years delivering production-grade data science or ML solutions with demonstrated business impact
- Proven track record architecting complex ML systems from research to production deployment
- Deep expertise in multiple ML domains and strong software engineering fundamentals
- Experience leading technical projects and mentoring data scientists
- PhD in Computer Science, Machine Learning, Statistics, or related field
- Continuous learning in ML/AI advancements, healthcare analytics, and software engineering practices
- Expert-level proficiency in Data Science methods, workflows, and best practices
- Advanced Machine Learning including ensemble methods, deep learning, NLP, LLMs, and computer vision
- Strong Statistical Analysis and experimental design capabilities
- Expert programming in Python, Java, SQL, or PySpark, emphasizing production-grade, maintainable code
- Advanced SQL and experience with high-volume, high-dimensional healthcare data
- Proficiency with Databricks, Spark, Delta Lake, MLflow, Unity Catalog, and cloud platforms
- Experience with Git workflows, CI/CD pipelines, Docker, and modern MLOps practices
- Deep understanding of healthcare data and Medicare Advantage operations
- Exceptional communication skills to translate technical complexity into business value
- Strong data visualization and storytelling capabilities
- Required licensure: None















