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The OpportunityAs Data Scientist Lead - Risk Data and Analytics, you will be responsible for developing AI models using machine learning, deep learning, and natural language processing, particularly transformer models and Generative AI. Your expertise will be instrumental in developing and implementing predictive modeling solutions for the risk and compliance organization, enabling them to proactively identify and mitigate risks.
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Defines advanced analytics, M/L and AI project objectives, collaborates with the business for requirement, defines metrics and measures of effectiveness, and expected outcomes; identifies and/or develops innovative and effective approaches and methodologies; applies advanced operations research and data science techniques for quantitative analysis, statistical analysis, forecasting, predictive modeling, prescriptive analysis, and optimization; and validates analysis and outcomes.
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The Extreme Loads group has unique capabilities and extensive experience in the analysis and design of facilities subject to extreme loads including: •Facility Siting Analysis •Quantitative Risk Assessment •Fire & Explosion Risk Assessments •Explosion, Fire and Toxic Modeling •Explosion Testing and Similitude Modeling •Advanced Finite Element Analysis: Nonlinear static, Nonlinear transient dynamic •Advanced Computational Fluid Dynamics Analyses •Root Cause Analysis & Incident Investigations.
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Work with a state-of-the-art data technology stack (Spark, Tensorflow, Pytorch, Snowflake, Airflow, AWS Ecosystem) that operates in the cloud to empower predictive modeling services for both internal and external customers.
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Perform schematic capture and layout printed circuit boards (PCBs) using computer aided design (CAD) software (Altium Designer or similar type CAD programs). 5-10 years: Experience in schematic capture, circuit board layout, modeling of mechanical parts using CAD software is preferred.
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The Sailors in the Submarine Electronics Computer Field (SECF) work with a submarine’s sonar, weapons, communications and navigation systems. “A” School for FTs - This 27- to 33-week course in Groton, Conn., provides a basic knowledge of electronics, mathematics and computer theory to support the operation and basic maintenance of submarine weapons control systems.
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Degree must be in Computer Science or a related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Systems Engineering, Mathematics, Computer Forensics, Cyber Security, Information Technology, Information Assurance, and Information Security.
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Degree must be in Computer Science or a related filed (e.g., General Engineering, Computer Engineering, Electrical Engineering, Systems Engineering, Mathematics, Computer Forensics, Cyber Security, Information Technology, Information Assurance, and Information Security.
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The application of Information Assurance (IA), Mission Assurance (MA) and threat hunting technologies and techniques, analysis of computer systems, operating systems, network communication protocols, computer and network architectures and virtual machine (VM) technology; ability to analyze and correlate data in order to distinguish evidence of attacks or intrusions from normal activity.
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Ensure they are provided to the DHFE CADD staff and provide Drawbase drawings by printing or copying portions of drawings as needed or by submitting Computer-Aided Drafting and Design/Building Information Modeling (CADD/BIM) Work Request to local CADD/BIM staff.
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Technical school or college/university level coursework in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance, mathematics, statistics, economics, or a related field is preferred.
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0-5 years: Experience with recent advances in computational mechanics targeted towards structural applications is desirable, including contact algorithms, constitutive modeling, multi-physics, meshing algorithms, enriched methods, and automatic crack growth.
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Relevant experience must be in computer or information systems design/development, programming, information/cyber/network security, vulnerability analysis, penetration testing, computer forensics, information assurance, and/or systems engineering, Network and system administration may account for some, but not all, of the experience.
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Proficient in MS Office Applications including excel VBA and/or Power Query, and the ability to use sophisticated ALM modeling software and systems, such as Empyrean, Bancware or QRM. Proven analytical and quantitative skills (ALM modeling, Hedging, and investment/portfolio management experience.
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Relevant experience must be working in a security domain (e.g., cyber security, network security, information system security, information assurance, and computer security), programming, systems architecture, vulnerability analysis, reverse engineering, malware analysis, protocol analysis, network analysis, software analysis, debugging, and/or using network security intrusion or computer network diagnostic software utilities (e.g., SNORT and trace-route.
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predictive modeling computer jobs Title: data scientist senior Company: Ppl Corporation in San Antonio, TX
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