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Data Scientist, Healthcare - Remote

Posted 5 days agoViewed

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💎 Seniority level: Junior, 1+ years

📍 Location: United States

🔍 Industry: Healthcare

⏳ Experience: 1+ years

🪄 Skills: PythonSQLCloud ComputingData AnalysisData MiningMachine LearningMLFlowData scienceREST APISparkAgile methodologiesData visualizationData modeling

Requirements:
  • Degree(s) in Machine Learning, Data Science, Statistics, Computer Science, Computer Engineering, Electrical Engineering, Physics, Applied Math or other quantitative fields
  • 1+ years industry experience in data science and predictive modeling
  • Knowledge of machine learning algorithms, statistical methods, and data mining techniques, with experience applying them to real-world problems
  • Familiarity with MLOps practices and tools for model deployment, monitoring, and management in production environments (e.g., Sagemaker, MLflow, or similar ML platform)
  • Experience with model governance including model versioning and experiment tracking
  • Strong proficiency in Python and SQL
  • Experience creating data pipelines to source new data for model building
  • Strong understanding of healthcare concepts, terminologies, and data (e.g., claims/EHR data, ICD, CPT)
  • Experience with big data technologies such as Spark
Responsibilities:
  • Drive development efforts on Experian Health priority data science and machine learning projects
  • Build data science models that addresses critical healthcare challenges for patients
  • Develop models from project ideation through production
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