Actuarial Analyst The Actuarial Analyst performs actuarial services in support of Health Plan operations and monitors and maintains financial solvency through the understanding of current data & environment and modeling of future events. This role is
Job Title This position involves responsibility for operating information processing equipment in accordance with programmed instructions by manipulation of a standard alpha-numeric keyboard and related peripheral equipment to record, edit, store and revise correspondence, reports, statistical, accounting
Transportation Senior Continuous Improvement Engineer (remote) This position supports the Ryder Continuous Improvement culture across the operation by actively applying continuous improvement methods to support new and existing operations. The Engineer will identify and drive change
Program-Level Lead Data Manager Lead data management activities in support of Alnylam clinical studies. Lead database build activities including cross-functional review of eCRF content, review of edit check specifications, and perform user acceptance testing. Monitor data
Requested Qualifications: 84 months experience using HTML5, CSS3 (including preprocessors like Sass/Less), and JavaScript (ES6%2B); RESTful APIs and asynchronous programming; experience with at least one major JavaScript framework (React, Angular, Vue.js). 84 months experience in build tools
Essential Duties and Responsibilities: - Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations. - Develop and maintain technical integrations between solutions and Maximus technologies such as
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