Senior AI & Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and implement comprehensive AI/ML solutions addressing intricate healthcare issues, such as risk stratification, clinical decision support, automated chart reviews, and fraud detection.

• Create and deliver production-level machine learning systems that handle millions of healthcare transactions.

• Manage the entire ML lifecycle, from experimentation and validation to deployment, monitoring, drift detection, and ongoing enhancement.

• Set up instrumentation, observability, alerting, and feedback mechanisms to ensure production model performance and reliability.

• Investigate and utilize cutting-edge deep learning, NLP/LLMs, computer vision, and causal inference techniques.

• Advocate for engineering best practices, including code quality, testing, documentation, reusability, and maintainability.

• Collaborate with Product, Clinical, Operations, and Compliance teams to pinpoint valuable AI opportunities.

• Convert technical concepts into business narratives for executive audiences and influence product and technology strategies.

• Guide data scientists through code reviews, architectural discussions, pair programming, presentations, and documentation.

• Conduct technical interviews and exemplify best practices in analytical rigor and problem-solving.

⛳️ Requirements

• 5-8 years of experience delivering production-level data science or ML solutions with a demonstrated positive business impact.

• Proven experience in architecting complex ML systems from research through to production deployment.

• Extensive knowledge in multiple ML domains along with strong software engineering principles.

• Experience in leading technical projects and mentoring data scientists.

• PhD in Computer Science, Machine Learning, Statistics, or a related field.

• Commitment to ongoing learning in ML/AI advancements, healthcare analytics, and software engineering practices.

• Expert-level understanding of Data Science methodologies, workflows, and best practices.

• Advanced knowledge in Machine Learning, including ensemble methods, deep learning, NLP, LLMs, and computer vision.

• Strong capabilities in Statistical Analysis and experimental design.

• Proficient programming skills in Python, Java, SQL, or PySpark, with an emphasis on production-quality, maintainable code.

• Advanced SQL skills and experience with high-volume, high-dimensional healthcare datasets.

• Familiarity with Databricks, Spark, Delta Lake, MLflow, Unity Catalog, and cloud platforms.

• Experience with Git workflows, CI/CD pipelines, Docker, and contemporary MLOps practices.

• In-depth understanding of healthcare data and Medicare Advantage operations.

• Excellent communication skills to translate technical complexity into business value.

• Strong capabilities in data visualization and storytelling.

• Required licensure: None.

🏝️ Benefits

• Comprehensive health insurance plans.

• Competitive salary with performance-based incentives.

• Flexible work hours and options for remote work.

• Professional development opportunities and continuous learning support.

• Generous paid time off and holidays.