JOB SUMMARY:

CommunityCare HMO, Inc. seeks a Machine Learning Engineer to develop machine learning models for healthcare and payer applications, including but not limited to natural language processing, medical claims, recommendation systems, and predictive analytics. Collaborate across business lines to identify opportunities to include machine learning and artificial intelligence in our products, services, and applications. Gather and analyze large and regulated datasets to build and refine machine learning models. Solve complex problems with multilayered datasets. Track the latest developments in machine learning research and apply findings to real-world problems. Provide technical leadership and guidance on machine learning best practices. Communicate findings and results effectively to both technical and non-technical stakeholders.

EDUCATION/EXPERIENCE:

Position requires a Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field, and 1 year of experience with developing software and data solutions utilizing advanced machine learning algorithms and libraries. Experience must include 1 year of experience with each of the following: Analyzing complex datasets to support data-driven decision-making; Implementing deep learning techniques and architectures to develop predictive models; Working across cross-functional teams to design and deliver scalable data solutions; Translating complex technical concepts for both technical and non-technical audiences; Designing data visualizations and dashboards; Developing and automating ETL workflows to optimize data integration, using SQL Server; and Implementing end-to-end data and ML solutions in production environments, using Microsoft Azure, Power BI, PyTorch, Python, Scikit-learn, SQL, and TensorFlow. Telecommuting is available up to 2 days per week.

Job Location: Tulsa, OK

To apply, please email your resume and cover letter to [redacted] with reference to Job Code: [redacted].