Fresenius Medical Care is looking to improve renal care with innovative yet simple therapeutic solutions, and this role will assist in driving retention and patient satisfaction initiatives as part of the Home Therapy Product Management team by developing machine learning algorithms.
Requirements
- Experience with data analytics and machine learning, required
- Experience with Java, Python, SQL and related machine learning technology stack
- Experience with AWS and other cloud platforms, at least familiarity is needed
Responsibilities
- Assist in establishing machine learning algorithms to improve 90-day Home HD and PD patient retention
- Assist in gathering and organizing the data sources in a systematic manner to support the retention risk score modeling
- Support development of features from diverse data sets to advance the algorithms accuracy, specificity, sensitivity
- Help with testing and validating the model at various stages of its evolution
- Execute exploratory data analysis / profiling analysis for important retention algorithm initiatives
- Provide support for our Global Medical Office and Information Technology Solution team members
Other
- Candidate for B.S in computer science or data science related field
- Demonstrated ability to conduct self-driven research, and eagerness to learn new tools and methods quickly
- Strong ability to translate model results and data analysis into actionable insights, and communicate those insights clearly to both technical and non-technical stakeholders
- Entry level knowledge of Dialysis industry helpful, but not required
- Energetic, curious, learner/growth/problem solver mindset, positive attitude, and enjoys working in teams
