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The Risk Data Scientist will use analytical skills to identify and prevent fraud & credit risks. You will own the key metrics, develop data pipelines, ETL. You will also make a direct impact on Square's priorities and Banking initiatives (primarily SQ’s debit card) by building risk detection strategies, developing & tracking key success metrics, influencing partners through data and enabling growth of the business.
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Review and advise on technical requirements, vendor solutions, and data protection features of applications and systems utilized and/or delivered by the Deloitte US Firms. Experience of technologies used to collect, share, access and use personal data such as cookies, web beacons, data warehouse, and web analytic and decision support software.
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Experience or exposure in build and CICD technologies: GitHub, BitBucket, Azure DevOps, Maven, Jenkins, Nexus or Sonar Exposure to Agile development concepts Exposure quality assurance technologies: ATDD, Selenium, Cucumber, JUnit, NUnit, SoapUI or Postman Exposure of data management methodologies Exposure to serverless architectures and computing concepts Compensation Starting base salary: $92,114 - $156,880 per year.
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Among the Centers personnel include a Senior Data Scientist, Senior Data Manager and Senior Data Analyst, Research Coordinator, Scientific Writer and Medical Editor. The Department of Surgery established the Carolinas Center for Clinical Outcomes Science in 2018, in order to promote a culture of excellence in surgical research, investigation and scholarship through the optimization of care delivery by improving clinical outcomes using innovative data analytics methodologies.
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The solutions provided by Mainframe Hosting include Distributed and Mainframe Systems, Middleware, Network Security, Storage and Data Protection as well as Data Center Operations. Make recommendations to clients on application changes as needed to provide better code reuse, performance gains and data throughput.
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Knowledge of cloud-based data platforms such as Azure Data Lake, AWS Redshift, or Google BigQuery. Proven experience as a Data Engineer with a strong emphasis on Business Intelligence, querying Hadoop Hive, Teradata, and SQL Server.
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Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices. Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices.
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Qualifications 6+ years’ experience as a Data Scientist or Data AnalystExperience with building models, machine-learning, NLP4+ years’ experience in R, SQL and Python4+ years’ experience with data visualization tools (e.g. Tableau, PowerBi, R Shiny)Problem-solving aptitude and business acumenExcellent communication and presentation skillsBSc/BA in Data Science, Computer Science, EngineeringPreferred experience: Experience with more than one coding language.
$109,000 - $112,000 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Bring in AI/ML techniques to the legacy risk data analysis and Model Risk Management and engage with clients on cost savings, efficiency enhancements. Prior experience in partnering with market leading COTs product used by financial institutions – Moody’s Risk advisor, SAS, Actimize, Mantas, Axiom SL.
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Life Sciences, Consumer Packaged Goods, Midstream Oil & Gas, Petrochemical, Refineries, Food & Beverage, Pharmaceutical, Water/Wastewater, Utilities, Cogen Plants, Data Centers. PLC programming from scratch: Rockwell/Allen Bradley MicroLogix, SLC, CompactLogix, ControlLogix, FlexLogix, Wonderware InTouch & ArchestrA, Siemens, Modicon, Schneider Electric, GE Fanuc.
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Integration with External Systems: Proficiency in integrating Dynamics 365 SCM with external systems such as transportation management systems (TMS), warehouse management systems (WMS), and IoT devices for real-time data exchange.
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Mechanical and Electrical Engineering, Systems Thinker, Collaborative Problem-Solver, Process Design, Process Implementation, Software Architecture, Product Data Management, Product Information Management, ERP system experience, Corrugated Manufacturing, Web-based Digital Printing, Plant Management, Project Management, IT/Systems Knowledge, Maintenance/Reliability Experience.
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Deep data engineering expertise using COTS/Services/products catering to the D&A platform ecosystem spanning Data Integration, Virtualization and Data Management capabilities. Governance of overall D&A platform ecosystem with focus on process and solutions catering to Data masking (PII management), data lifecycle management needs.
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Analyzesurvey reports, maps, drawings, aerial photographs, geotechnical data and other information to plan projects of all levels ofcomplexity and create design deliverables. The Civil Engineer will be responsible for managing and overseeing all aspects of site civil, site development, stormwater management, grading, parking building arrangements, and underground utilities for our clients in heavy industrial, manufacturing, and chemical plant environments.
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It is specialized technical work in the maintenance, analysis, and review of payroll records and other Charlotte Firefighters’ Retirement System records and data related to administering the defined benefit (pension) plan.
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data job Title: data Company: Deloitte in Charlotte, NC
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