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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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They will utilize statistical techniques, data visualization tools, and predictive modeling to extract meaningful insights. Utilize statistical techniques, data visualization tools, and predictive modeling to extract meaningful insights from sales-related data.
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This position is responsible for developing maintenance plans and schedules based on recurring preventive maintenance activities, predictive maintenance data and KPIs. Key activities for this position include screening EAM work orders, auditing equipment to document work requirements and quality, estimate labor hours, materials, tools and equipment for all assigned work orders to support a proactive, reliability-centered maintenance (RCM) program.
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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. AI, Looker, ThoughtSpot, Cognos, SAS, SPSS, etc.
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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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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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Hands-on experience with App monitoring, alerting, predictive maintenance. Experience as an Admin in APM tools such as Splunk, Datadog, Sumo Logic, AppDynamics,Dynatrace and PagerDuty. Managing cloud infrastructure as code by leveraging provisioning and configuration management tools such as Terraform and Ansible.
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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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Strong knowledge of pattern recognition, statistics, machine learning, algorithms, predictive modeling, and advanced mathematics. 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.
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Strong quantitative and analytical skills, including sound knowledge of statistical concepts and predictive modeling/machine learning. Predictive modeling using Real World Data. Prior experience in analytics for specialty medicine/biologics/rare disease and Oncology is a significant asset.
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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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Experience with large-scale datasets and implementing predictive modeling, data mining, and other quantitative and research analytics. This role will be responsible for applying predictive modeling and machine learning techniques to gain better data insights and solve business challenges around profitability and growth.
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Participate in the administrative maintenance of the plant operating manuals, technical references, prints and diagrams and preventive/predictive maintenance records. The Instrumentation and Electrical (I&E) Technician is responsible for the maintenance and repair of all instruments, control systems and electrical equipment in the catalyst plant and the associated facilities.
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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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predictive job in Warren, NJ
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