Senior AI & Data Scientist

🔥 4 minutes ago

🇺🇸 United States – Remote

💵 $172.4k - $258.5k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Alignment Health

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

⚕️ Healthcare Insurance

🛡️ Insurance

🏥 Healthcare

💰 $135M Series C on 2020-03

Healthcare Insurance • Insurance • Healthcare

Alignment Health is dedicated to providing comprehensive care for Medicare members, emphasizing the needs of seniors, the chronically ill, and those who are frail. With a mission to transform senior healthcare, Alignment Health leverages a tailored care model and advanced technology to deliver high-quality, low-cost healthcare services. Their 24/7 concierge care team collaborates with trusted local providers to ensure that every member receives personalized care, reflecting the company's commitment to treating all members as valued family members.

📋 Description

• 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