Epic Senior Application Analyst (Hospital Billing Claims) A Brief Overview The Senior Epic Analyst designs, configures, tests, and implements changes of assigned Epic system applications. They will lead operational work groups and teams to gather and
Description Asurint has redefined screening by blending advanced technology with human insights, creating a smarter, more effective way to screen. Our compliant, data-driven, tech-enabled solutions deliver faster, more reliable results to empower confident decisions. At Asurint,
Description Position Summary: We are hiring a Software Engineer with a You Build It, You Run It mentality to expand automation across the business — building the integrations, data pipelines, and supporting services that eliminate manual
Are you looking to power the next leap in the exciting world of advanced electronics? Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your
Medical Mutual employees must submit their applications through MySource. This is a hybrid‑remote role based out of the Brooklyn, OH office, with the expectation to work onsite on designated in‑office days each week. Founded in 1934, Medical
Primary Purpose The Cleveland Guardians Baseball Research & Development (R&D) group is seeking to hire data scientists, either senior or entry-level. In this role, you will work alongside the rest of the R&D group to transform
Essential Duties and Responsibilities: - Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition. - Select crucial features, construct, and refine classifiers using
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
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