Machine Learning Analytics Co-op- DSS

This is a full time Spring Co-op position Jan 2026, ending July 2026.

INVENT. IMPROVE. INSPIRE.
Fresenius Medical Care is not your typical medical products company. We are a close-knit team of talented professionals driven by a shared commitment: to lead a movement to dramatically improve renal care with innovative yet simple therapeutic solutions that benefit patients, caregivers, and society. We pursue this goal through a passionate commitment to Innovate, Educate and Advocate for the breakthroughs that are redefining renal care. Additionally, Fresenius Medical Care works in community with its customers, patients, industry partners, and government leaders and agencies to realize the vision of better, simpler, more accessible renal care. 

Position Summary:

The selected intern will assist in driving retention and patient satisfaction initiatives as part of the Fresenius Medical Care Home Therapy Product Management team.  The role will report to the Director of Product Management, Home Therapies connected Health. The intern will work collaboratively with several cross-functional departments including Global Medical Office, Information Technology Solutions, Home Digital Value Stream, and other members of the Home Therapies Connected Health Product Management as part of this role.

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

Education & Qualifications:

• 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
• Experience with SalesForce.com, SAP, but not required
• Entry level knowledge of Dialysis industry helpful, but not required
• Energetic, curious, learner/growth/problem solver mindset, positive attitude, and enjoys working in teams

EOE, disability/veterans