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Domain knowledge and experience with work flows and pipelines for media production: digital asset management and namespaces, familiarity with 3d frameworks, universal scene description, scene graphs, layers and models, 3d data packaging, rendering work flows, image composition, tools used in the workflow by artists, engineers, editors and content creators is highly desired.
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Understanding of industry standard technologies to support Clinical Development needs (e.g., CTMS, SAS, R or Python, Data Warehouses, SharePoint) Prepare, test and implement post production changes as per study needs while ensuring data integrity.
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Expertise architecting and developing solutions in AWS, Databricks and Snowflake (data engineering) Champion of data technologies in areas of data integration, Business Intelligence and AI/ML.
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Ability to reference existing firm information security and data protection policies as well as knowledge and experience to review complex situations and assist in proposing solutions. It requires close partnership with EY's Americas Data Protection/Privacy function and Global IT and Information Security functions.
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Data Protection Reporting & Analytics; Insider Threat Integration: Skills in generating reports and analytics on data protection activities are valued. Minimum of 2 years of hands on experience with Data Security vendors, product capabilities, and solutions that focus on Data Protection and not limited to Data Loss Prevention, Rights Management, Data Classification and Data Privacy.
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Demonstrate ability to build queries in Oracle and/or Microsoft SQL Developer/Dataiku and data knowledge (understanding general data structures, database design, views, table, etc.
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Design Return on Investment (ROI) Analyses for new Value Based Payments (VBP) using multiple data sources, including prior authorizations, healthcare claims, Admit/Discharge/Transfer (ADT) data, HEDIS data, etc.
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Data analytics personnel will be key members of the Fee-for-Service (FFS) Operations team within the School Based Services (SBS) Center of Excellence (COE). Process confidential data and information according to HIPAA, FERPA, and PCG internal policies.
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Meet with Data Operations Coordinator (DOC) and/or Data Operations team members on a regular basis to ensure milestones meet timelines and quality deliverables. With guidance, create and/or review and sign-off on all data management plan (DMP) documents.
$84,400 - $126,700 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The Principal Data Engineer will be a part of Big Data team and responsible for developing batch or event-driven data pipelines in the cloud (AWS) while improving the reliability, security, resilience, and performance of the Big Data pipeline.
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8+ years of experience in related field, including experience with specific tools in scope such as data platforms including SAP HANA, GCP Big Query, Manhattan, and SQL Server preferred. + Expert knowledge of BI Reporting, Data Discovery tools, Alteryx etc.
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Assist Clinical Scientist, Study Responsible Scientist (SRS), &/or Study Responsible Physician (SRP) in various clinical research assigned Immunology Development clinical trials. Assist with clinical study activities such as study start up, investigator meetings, data review, etc.
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2) implementing documentation and source control using GIT-backed Azure Dev Ops; (3) constructing complex queries using SQL to pull data from a claims processing database; (4) programming language C# for application and API development using OOP concepts; and (5) unit testing frameworks (nUnit, SpecFlow, MSTest, xUnit.
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As a senior ATR/CID research scientist, you will apply your skills to a wide variety of problems and datasets, primarily focused on Intelligence, Surveillance, and Reconnaissance (ISR) applications to include Electronic Support Measures (ESM), acoustic, Radio Frequency (RF), Electro-Optical (EO), and Infrared (IR) applications.
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Provides professional leadership and direction in the conceptual design, formulation and development of major prototype and developmental systems or in making extensive modifications and upgrades to existing systems, taking into account changing requirements and interfaces, advances in technology, and evolving standards.
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Title: data scientist Company: Oracle in Charleston, WV
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