As a Data Scientist, you'll use your expertise in AI and machine learning to solve critical healthcare challenges, aiming to reduce costs and improve outcomes. With access to vast structured and unstructured data, you'll collaborate with healthcare professionals to drive impactful results and deploy machine learning models in production environments.

Key Responsibilities

• Collaborate with R&D, Operations, and product management to evaluate AI/ML opportunities.
  Conduct exploratory data analysis to validate AI/ML hypotheses.
  Document your methods and results for team collaboration.
  Develop and test machine learning models, ensuring quality assurance.
  Deploy models into production and assist with performance monitoring.
  Collaborate with other data science teams and contribute to platform improvements.

Requirements

• Graduate degree in a quantitative field (Computer Science, Engineering, Statistics, etc.).
• 5+ years of hands-on data science experience with tools like pandas, scikit-learn, Keras, and TensorFlow/PyTorch.
• Expertise in NLP techniques, including transformers, LLMs, and tools like Hugging Face and OpenAI.
• Experience deploying ML models on AWS, Azure, or GCP.
• Strong communication skills for technical and non-technical audiences.
• Ability to work independently and within a team, managing multiple projects.

Preferred

• Experience with Apache Spark™ and distributed datasets.
• Passion for AI innovation and value-driven impact.
• Ability to handle confidential information and work in a matrixed environment.

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