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Collect, integrate and analyze HR data from diverse systems, employing data mining and analysis methodologies that contribute to predictive analytics and the development of leading indicators, ensuring data integrity, accuracy, and confidentiality.
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Rail IT SystemsKnowledge or acquaintance with any Rail management or operational systems would be plus•Sensors, IoT, RFID technology, Big Data, Predictive Analytics and integration systems•Predictive maintenance •Transport management systems like SAP Transport Management (SAP TM), IBM Maximo.
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Provide insights into modern Data & Analytic technologies and new use cases business intelligence and predictive analytics. Ability to work with Data Engineering teams, Data Management Team, BI and Analytics in a complex development IT environment.
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Collaborate with data analysts to leverage advanced modeling techniques and predictive analytics to improve pricing accuracy and risk assessment. A professional actuarial designation (e.g., FCAS, ACAS, or equivalent) is required.
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The VP, Chief Clinical Data Officer will lead a team of data scientists, data architects, clinical informaticists and clinical analysts who perform data abstraction, interpretation and reporting on quality measures across the enterprise and lead HMH in the use of healthcare analytics for quality improvement, public reporting, population health management and predictive modeling.
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This role requires the person to be an experienced analytics leader with deep hands-on experience in statistical analysis, predictive modeling, customer analytics, and data visualization.
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Support the technical development of data science and machine learning capabilities across the commercial organization, including patient journey analytics using Real-World Data (RWD) sources, predictive modeling at patient and provider level, provider/account segmentation, targeting, and market mix optimization.
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Minimum of 3 + years of experience in analysis, advanced statistical analysis, or predictive analytics. Advanced degree such as a Master's or PhD in Human Factors, Human Computer Interaction, Science, Engineering, Cognitive Science, or related quantitative STEAM field.
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The team's tasks include analytics, creation of predictive models, application of machine learning techniques, and/or development of GenAI methods for high-visibility projects. Strong knowledge of pattern recognition, statistics, machine learning, algorithms, predictive modeling, and advanced mathematics.
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Key Responsibilities: Lead the development and execution of comprehensive financial plans, budgets, and forecasts (LEs), utilizing advanced digital tools and predictive analytics to ensure accuracy and efficiency.
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Using our proprietary solution set, GxFource, we apply machine learning techniques and predictive analytics tools as part of a broad artificial intelligence strategy that provides effective impact and data-driven business transformation.
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In collaboration and partnership with the Director, HR Systems People Analytics, this role will drive the strategic vision for People Analytics aligned with organizational objectives and industry best practices.
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Duties:Utilize eDiscovery review platforms such as Relativity, Recommind, and other analytics tools (TAR, predictive coding, Early Case Assessment). Firm Type: Law Firm, Experience: 5 Years, A law firm is seeking an eDiscovery Attorney for their Berkeley Heights, NJ office.
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Three or more years of experience in advanced analytics/ predictive modeling in a consulting role. Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling.
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Develop high throughput and high-volume transaction APIs that can be consumed by omni channel platforms. Design, develop microservices for highly efficient protocol translation and enrichment with reactive design patterns.
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predictive analytics jobs in Warren, NJ
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