Owens & Minor is a global healthcare solutions company that provides essential products and services to support care from the hospital to the home. The company specializes in healthcare logistics, inventory management, supply chain solutions, and infection prevention. It offers logistics solutions to reduce costs and eliminate complexities for both acute and non-acute healthcare settings. Owens & Minor is also involved in consulting, helping improve healthcare supply chains and partnerships. The company is dedicated to empowering healthcare providers and serving patients, manufacturers, and communities with its range of products and services.
Healthcare Distribution and Logistics • Healthcare • Healthcare Technology • Supply Chain
January 7
Owens & Minor is a global healthcare solutions company that provides essential products and services to support care from the hospital to the home. The company specializes in healthcare logistics, inventory management, supply chain solutions, and infection prevention. It offers logistics solutions to reduce costs and eliminate complexities for both acute and non-acute healthcare settings. Owens & Minor is also involved in consulting, helping improve healthcare supply chains and partnerships. The company is dedicated to empowering healthcare providers and serving patients, manufacturers, and communities with its range of products and services.
Healthcare Distribution and Logistics • Healthcare • Healthcare Technology • Supply Chain
• Participate in user interviews to understand technical and customer needs • Create data pipelines using Pipeline Builder and Code Repositories • Create and manage data modeling objects • Analyze data using tools like Code Workbook, Contour, and Quiver • Establish data connections, build data health monitors, and analyze data lineage • Manage requests for customer facing applications built within machine learning technologies • Translate business needs, challenges and requirements into solutions that deliver value to the organization
• Bachelor’s or master’s degree in computer science or related field or equivalent work experience • 2-5 years of data engineering experience • 2-5 years experience in predictive and prescriptive modeling • 2-5 years experience in programming for large scale data analysis and data modernization • Experienced in Code Repositories / branching strategies • Hands-on experience with data science tools • Ability to write scripts for data manipulation, transformation, and analysis • Proficiency in languages such as Python, SQL, or R • Strong background in data engineering/ETL ecosystems with Palantir Foundry, Cognizant, Python, PySpark and Java (preferred) • Familiarity with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch) (preferred) • Certifications such as Foundry Application Developer, Foundry Data Analyst, Foundry Data Engineer are a plus
• Medical, dental, and vision insurance, available on first working day • 401(k), eligibility after one year of service • Employee stock purchase plan • Tuition reimbursement
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