Job Title: Lead Data Scientist – Healthcare (AI Architecture Focus) Location: EAST coast (REMOTE) Required Qualifications • 7+ years of experience in data science, with recent experience in a Lead Data Scientist or similar senior role. • Strong experience working in the healthcare domain (payer, provider, life sciences, digital health, or health tech). • Hands-on experience designing and deploying ML models in production environments. • Solid understanding of AI architecture concepts, including scalable ML systems, MLOps, and cloud-based deployments. • Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). • Experience with SQL and big data technologies (e.g., Spark, Databricks, Snowflake). • Strong understanding of data modeling, statistics, and machine learning algorithms. • Experience working in cloud environments such as AWS, Azure, or GCP. • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders. Preferred Qualifications • Prior experience collaborating closely with or acting as an AI Architect on enterprise-scale solutions. • Experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Azure ML). • Familiarity with NLP, computer vision, or generative AI use cases in healthcare. • Knowledge of healthcare interoperability standards such as HL7, FHIR, or ICD codes. • Experience leading cross-functional teams in a contract or consulting environment.
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