GHX faces challenges in bending the cost curve in healthcare, and this role will leverage advanced data science and machine learning techniques, including Generative AI, to produce key innovations and achieve strategic goals by analyzing diverse internal and external data.
Requirements
- Expertise of broad range of DS and ML methods and how to mitigate common pitfalls (over fitting, sample bias, etc.)
- Understands and implements best practice in deployment methods: CICD, containerization, etc.
- Can work with SQL and NoSQL (document, vector, graph) data sources.
- Excellent software engineering skills creation of unit tests, modular problem decomposition, multiple solution integration, etc., with minimal to no supervision.
- Greater than 3 years working as data scientist.
- High level of expertise with Python & SQL.
- Experience with libraries like scikit-learn, PyTorch, TensorFlow, Keras, etc.
Responsibilities
- Work with internal and external stakeholders to understand needs and challenges and translate these into solutions.
- Follow best practice for model development: training, testing, maintenance, etc.
- Invent novel solutions to suit stakeholder needs.
- Design and train machine learning solutions.
- Deploy solutions as maintainable APIs.
- Build simple front ends / dashboards to demonstrate capabilities in a simple workflow.
- Develop custom models and algorithms utilizing internal and external data sets.
Other
- Ability to creatively apply data science and machine learning methods to solve targeted business problems.
- Collaborate with DS team and other internal and external stakeholders.
- Report on and explain findings and decisions, detailing the what and the why.
- Create visualizations to convey understanding of findings.
- Experience with AWS cloud resources.
