Lead data design, prototype, and development of data pipeline architecture pipelines. Lead implementation of internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. Lead cause analysis on external and internal processes and data to identify
The Principal Data Engineer serves as a hands-on technical authority responsible for defining and implementing enterprise-scale data architecture and engineering strategies while actively contributing to solution design, development, optimization, and technical delivery. As part of an assigned product
Job Description: Summary: The HCRA Analyst is responsible for administering, monitoring, and analyzing activities of the Lifetime Healthcare Companies related to the New York State Health Care Reform Act (HCRA), Federal Affordable Care Act (ACA), extraterritorial
Job Summary:The Chief Technical Officer (CTO) is a C-suite executive and a member of the senior leadership team, accountable for defining and executing CaterTrax®s enterprise technology vision in direct support of the companys AI business transformation
Job Description: Summary: The Software Engineer is responsible for working on projects that are currently being visualized or developed by our organization. This role will be involved with the Software Development Life Cycle methodology and framework,
This is a hybrid position and must be located within 100 miles of a Mayo Clinic campus for occasional on-site expectations based on business needs. The Administrative Integration Services Unit is seeking a Software Engineer to
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers,
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers,