CVS Health is looking to solve the problem of building a world of health around every consumer and transforming health care through the use of machine learning and data science, specifically in the context of Oak Street Health's primary care centers for adults on Medicare in medically-underserved communities.
Requirements
- 1+ years of experience building, scaling, and optimizing machine learning systems.
- 1+ years of experience programming with one or more modern languages, such as Python, C++, Java, etc.
- 1+ years of experience with common ML libraries (i.e. Scikit-learn, XGBoost, NumPy, Keras, PyTorch, etc.) and ML algorithms (i.e. clustering, decision trees, boosting, etc.)
- Proficiency with Python and ML frameworks such as Scikit-learn, PyTorch, Dask, Spark, or TensorFlow.
- Track record of building ETL or ML model-serving pipelines.
- Ability to scale a data scientist's code into production-ready packages integrated into core OSH services.
- Experience working with clinical or medical data.
Responsibilities
- Design, develop, and implement machine learning pipelines in collaboration with Data Science teams.
- Maintain and enhance best practices through code development and testing, ML model validation, and automation of tests and deployments.
- Collaborate with Data Science, Product, Engineering, and Business partners to deploy effective and efficient state-of-the-art machine learning models that address OSH operational needs.
- Support the full MLOps lifecycle, including external data integration, data validation, model scaling, and prediction monitoring.
- Leverage or build cloud-based architectures, technologies, and/or platforms to deliver ML models at scale.
- Utilize continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
- Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and ML practices adhere to Responsible and Explainable AI guidelines.
Other
- A degree in Computer Science, Mathematics, Statistics, or another quantitative discipline OR 3+ years of direct experience.
- US work authorization.
- Strong communication and interpersonal skills with the ability to deliver complex topics to all familiarity levels.
- Growth mindset and willingness to learn.
- Someone who embodies being 'Oaky' (radiating positive energy, assuming good intentions, creating an unmatched patient experience, driving clinical excellence, taking ownership and delivering results, being scrappy)
