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Tiger AnalyticsPosted 1 month ago

Lead Data Scientist - Healthcare

RemoteUnited States

Full TimeSenior LevelBachelors DegreeLarge

Job Summary

Lead the design, development, and enhancement of forecasting models to improve prediction accuracy and business outcomes. Build and deploy advanced Deep Learning models for large-scale structured and unstructured datasets, while developing Generative AI and Explainable AI solutions for transparent insights. Analyze healthcare datasets including claims, patient, provider, and clinical data, then collaborate with stakeholders and engineering teams to translate challenges into scalable AI solutions. Monitor model performance, retrain models, and optimize algorithms for production environments while mentoring junior data scientists. Ensure compliance with healthcare data privacy and governance standards. Requires 8–10 years of experience in Data Science and Machine Learning roles with mandatory healthcare domain expertise.

Required Qualifications

  • 8–10 years of experience in Data Science / Machine Learning roles
  • Strong hands-on expertise in Forecasting models (time series, demand forecasting, predictive analytics)
  • Experience with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras
  • Proven experience building Generative AI / Explainability models using LLMs, SHAP, LIME, or similar frameworks
  • Mandatory experience working in the Healthcare domain
  • Strong programming skills in Python, SQL, and ML libraries
  • Excellent stakeholder communication and leadership skills

Desired Qualifications

  • Experience with cloud platforms such as AWS, Azure, or GCP

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