Do you thrive in senior, hands‐on data science roles where you apply deep healthcare domain expertise, influence technical decisions, and translate advanced models into real‐world impact?
Requirements
- Proven Data Science experience
- Advanced academic experience—such as a Master’s degree or Doctoral degree in a related discipline—may substitute for part of the required experience
- Solid experience in statistical modeling, machine learning, and advanced analytics, including experience deploying models into production environments
- Demonstrated experience working with healthcare and/or insurance data, with a strong understanding of medical claims and healthcare coding systems
- Proficiency in Python and common data science and machine learning libraries (e.g., pandas, NumPy, scikit‐learn, XGBoost, PyTorch)
- Experience applying NLP techniques and familiarity with generative AI concepts (e.g., LLMs, prompt engineering, retrieval‐augmented generation) in applied analytics settings
- Experience working with large, complex datasets across on‐premise and cloud‐based data platforms
- Ability to operate independently on ambiguous problems, exercising sound technical judgment and accountability for outcomes
- Effective communicator and collaborator, skilled at partnering and influencing across product, engineering, and business teams
Benefits
- Medical Inpatient and Outpatient Insurance
- Life Assurance Policies
- Modern Family Benefits
- Long Service Award
- Celebratory Allowance/Gifts
- Flexible Benefits Plan
- Employee Assistance Program
- Flexible Working Arrangements
- Access to Learning and Development Resources

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