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Provides basic preventative and predictive maintenance and repair of material handling systems in mainly mechanical power transmission and will work to build stronger skills in electrical and PLC/controls and welding/fabrication.
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The asset reliability manager will be critical in this goal by coordinating planned corrective, preventive, and predictive maintenance activities through the technical development of maintenance and operation teams.
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We are actively exploring emerging technologies in AI, Machine Learning, Predictive Analytics, Blockchain and Decentralized Finance to elevate dozens of products and services which millions of customers use.
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Lead predictive maintenance efforts including vibration analysis, oil analysis, vessel thickness, code inspections, pressure relief device inspections, back-flow prevention inspections, ultrasonic leak detection, and infrared analysis.
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Strong interest in building predictive models (R, Python, SQL) Job Description Title: Consulting Actuary - Health / Predictive Modeling. Working with both payers and providers this organization leverages predictive models to deliver solutions.
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Assess predictive modeling outputs to strategically forecast quarterly enrollment trends, melt, and yield, and in turn, takes action to achieve goals; offers guidance based on analysis of market trends, from data available from DePaul EMM/IRMA, and external sources.
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Analytic Capabilities: Ability to think logically and use quantitative techniques to solve problems such as campaign analysis, optimization, data management, data operations and/or predictive modeling.
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Works independently to provide guidance and leadership to mid-level to senior level team or project members, with strict adherence to QA/QC.Proficiency with technical writing, office automation, discipline-specific design software (i.e., MicroStation, AutoCAD, Civil 3D, ArcGIS, InRoads, Geopak, GeoSlope, ANSYS, STADD, HEC-RAS, HEC-HMS), technology, math principles, predictive models, spreadsheets, and tools.
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Experience w/ predictive maintenance technologies including, but not limited to, vibration analysis, oil analysis, infrared Thermography, ultrasound, and motor current analysis. Plans and performs engineering operations, monitors operations center systems, RCM program implementation, process engineering assignments, root cause failure analysis, incorporation of condition-based maintenance (CbM and predictive testing and inspection (PT&I) technologies and conducts equipment condition assessments.
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The Engineer will be working closely with data scientists, data mining experts, and business partner supporting the design of experiments and analytics, data sampling and mining, verification of data quality and information integrity, and best practices around the development and deployment of predictive/prescriptive models, DevOps operational systems and practices, and data visualization solutions.
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Highly proficient with technical writing, office automation, discipline-specific design software (i.e., CADD, Aspen, CAPE, ETAP, WIN IGS, Inventor, AutoCADD electrical), technology, math principles, predictive models, spreadsheets, and tools.
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Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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Analytical needs can include: data aggregation / creation, data cleaning / manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.) Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Lead portfolio segmentation efforts to help inform resource & capital allocation, such as redevelopment and capital recycling opportunities; incorporate predictive analytics where applicable. Located in Chicago, the primary goal of this position is to develop current and predictive insights on the healthcare & life science industries and markets, policy and regulatory environments, and providers/tenants to identify opportunities and risks within the Healthcare and Outpatient Medical & Research Portfolios.
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We employ cutting-edge remote data sensing and geospatial technologies, human intelligence, AI and ML informatics, and predictive analytics to offer Environmental Monitoring, Risk Management, Decision Support, Domain Awareness, and Natural Capital Monetization applications.
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predictive job in Chicago, IL
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