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As part of Data Engineering, our Divisional Data Officer team is responsible for design, delivery and adoption of many of the enterprise Data Governance processes including Data Quality Management, Issue Management and Remediation, Data Lineage Management, Data Catalog Management, Business Glossary Management, etc.
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A bachelor's or master's degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field or equivalent work experience.
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Manage the risk and exposures within their portfolio on an ongoing basis, using the various credit risk management and product monitoring systems within Deutsche Bank, including internal stress test information, exposure data and performance/portfolio data received on a regular basis from hedge funds.
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Janssen Scientific Affairs, LLC, a member of Johnson & Johnson's Family of Companies, is recruiting for a Senior Medical Science Liaison , Urology , to cover the NYC (5 boroughs) territory. Janssen Senior Medical Science Liaison (MSL) is considered the field- based scientific and clinical expert on current and future Janssen products.
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Prior experience with Radiology Information Systems, PACS, Data processing and digital data transfer process. Registered X-Ray Technologist by American Registry of Radiologic Technologists (ARRT.
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Data science background. Hands-on experience with Databricks and Snowflake for data engineering and analytics. Implement data pipelines and ETL processes using Databricks and Snowflake.
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Key support areas include Employee Central, Integration, Reporting/People Stories, Data Replication and Data Governance. Focused on Oral Care, Personal Care, Home Care and Pet Nutrition, we sell our products in more than 200 countries and territories under brands such as Colgate, Palmolive, elmex, hello, meridol, Sorriso, Tom’s of Maine, EltaMD, Filorga, Irish Spring, PCA SKIN, Protex, Sanex, Softsoap, Speed Stick, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill’s Pet Nutrition.
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The Risk Management & Compliance Technology Machine Learning team at JPMorgan Chase focuses on solving challenging business problems such as Anti-Money Laundering and Surveillance through data science and machine learning techniques across Risk, Compliance, Conduct and Operational Risk. Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area.
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Examples of non-qualifying degrees include but are not limited to: criminal justice, political science, liberal arts, and business. Will ensure all “Res Hab. Plans” staff action plans data sheets are completed and will set up new data sheets monthly.
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Minimum 3-5+ years experience working in the nonprofit sector and strong program management and/or financial and data management experience. Lead the program’s data documentation efforts by creating new and revising existing dashboards and reports.
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Masters Degree in a social science (e.g., anthropology, sociology, psychology), human factors, cognitive science, human computer interaction or behavioral economics. Masters Degree in a social science (e.g., anthropology, sociology, psychology), human factors, cognitive science, human computer interaction or behavioral economics.
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Candidate must have experience in the areas of migrating Data and portfolios from one platform onto Loan IQ. They are consolidating loan data from the donor applications like ACBS, AFS and other lending application onto Loan IQ.
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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Technical knowledge and expertise regarding health data exchange standards, including but not limited to Health Level Seven (HL7), X12, Fast Healthcare Interoperability Resources (FHIR), JavaScript Object Notation (JSON), push notifications/alerts, master data management (MDM)/master patient and provider IDs (MPIs), error logging, and assured delivery/message acknowledgments.
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data science jobs Company: Bayada in New York, NY
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