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Experience in statistical detection of potential healthcare fraud and abuse, using tools, such as predictive modeling, development of mathematical models, neural networks, healthcare data analytics, and data mining.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Identify and analyze new fraud detection features using SQL, Databricks, and Python. Engage in ML model building activities for fraud detection (approximately 20% of the role.
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Working knowledge and/or hands on fraud detection experience with card products, card processors, card networks, and one or more fraud rule systems such as Defense Edge, FDWC, Falcon Expert, Tsys Card Guard, Tsys Determinator, Broadcom 3DS, Token Administration, Visa Risk Manager.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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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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Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis. Stay up-to-date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.
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It is a fascinating time to be a Data Scientist in the music industry, and the successful candidate will have the opportunity to work on leading industry topics such as Fraud Detection, Generative AI as well as more general business problems such as User Segmentation and Retention Modeling.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Utilize fraud detection, prevention, and management software (such as Kount and other machine learning and AI applications). Evaluate and implement new fraud detection tools, technologies, and industry best practices to continuously enhance the organization's fraud prevention capabilities.
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Oversee the plant's Predictive Maintenance Program; Oil Analysis, Thermography, Vibration Analysis, Thermography, and Ultrasonic Testing. Thorough knowledge of TPM, preventive and predictive maintenance techniques and their application.
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The ideal candidate will have experience in Electrical Maintenance, Molding Machines, High Voltage Electrical, PLC Programming, Machinery Repair, Preventative/Predictive Maintenance, Pneumatic/hydraulic/electrical, Machine Set-up, and Calibration.
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Predictive Preventative Maintenance (PPM) data in Computerized Maintenance Management System maintenance information systems (e.g. CMMS, SAP) Evaluates effectiveness of individual aspects of the Preventive and Predictive Maintenance (PPM) program by showing quantitatively the impact of failures and PPM. Participates in plant health study and efforts to implement corrective action to maintain or improve plant health.
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Identify, configure and implement fraud detection tools, and refine detection calibration to maintain optimum tradeoff between fraud risk management and operational efficiency.
$131,000 - $196,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Understand Predictive Maintenance technologies in order to understand when they apply to problems and participate in utilizing them as deemed necessary. Journeyperson Card (related to the job opening) and/or seven years of applicable experience as a qualified Tool and Die Maker person, or machine tool builder in troubleshooting, machine repair, tool making, machine building, hydraulics, pneumatics, and mechanical systems.
$37.5 an hourExpandApply NowActive JobUpdated Today
machine maintenance predictive fraud detection jobs Company: Nustar Energy
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