Information Technology - Machine Learning Engineer

CommunityCare

Tulsa, OK

JOB DETAILS
SKILLS
Algorithms, Artificial Intelligence (AI), Best Practices, Claims Processing, Communication Skills, Computer Science, Cross-Functional, Data Science, Data Sets, Data Visualization, Database Extract Transform and Load (ETL), Deep Learning, Health Maintenance Organization (HMO), Healthcare Software, Information Technology & Information Systems, Machine Learning, Mathematics, Microsoft SQL Server, Microsoft Windows Azure, Natural Language Processing (NLP), Power BI, Predictive Modeling, Production Systems, Python Programming/Scripting Language, Reporting Dashboards, SQL (Structured Query Language), Software Development, Systems Analysis, Technical Leadership, Technical/Engineering Design
LOCATION
Tulsa, OK
POSTED
6 days ago

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 mmcmurphy@ccok.com with reference to Job Code: 133-2014.

CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin

CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin

About the Company

C

CommunityCare