Fresenius Medical Care is a medical products company focused on improving renal care with innovative solutions. The selected intern will assist in driving retention and patient satisfaction initiatives within the Home Therapy Product Management team, collaborating with various cross-functional departments to enhance machine learning algorithms for patient retention.
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
Qualification
Required
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
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
Energetic, curious, learner/growth/problem solver mindset, positive attitude, and enjoys working in teams
Preferred
Experience with SalesForce.com, SAP, but not required
Entry level knowledge of Dialysis industry helpful, but not required
Benefit
Fresenius Medical Care is a healthcare company that provides dialysis treatment for those with chronic kidney diseases.
