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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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