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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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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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Coordinating study designs for pilots and innovations by managing data science personnel within the National Medicaid Quality Analytics team. Overseeing the coordination of HEDIS data ingestion activities and driving strategy to optimize HEDIS data ingestion, EHR/HIE interoperability, supplemental data, and record review for the Medicaid line of business.
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Participate in a district/community leadership team (DCLT) with LEA administrators and leadership from other community service organizations to conduct needs assessments, plan interventions across all levels of MTSS, and evaluate the effectiveness of MTSS strategies and interventions through shared data and resources.
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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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Such areas to include but are not limited to: Trading practices, Anti-money Laundering, Risk, Financial Controls, Conflicts of Interest, Fraud, Data Privacy, Records Management, etc. CHSs Trading Compliance and New Product Risk team is seeking a CHS Hedging LLC (Futures Commission Merchant, Commodity Trading Advisor) Compliance Expert to assist the CHS Hedging Chief Compliance Officer with ongoing requirements of the compliance program.
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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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Our team offers the opportunity to engage directly with advanced technologies projects (e.g. data science, data engineering, graph neural networks, natural language processing, and optimization) while improving our ability to protect customers (e.g. startups, Fortune 500, nonprofit, etc.
RemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Proven experience in applying Data Science methodologies to extract, process, and transform data from multiple sources. Stay abreast and evaluate the latest in AI research and technologies and determine how to incorporate these into our data science best practices.
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Experience with Oracle Analytics tools and Oracle Cloud Infrastructure a strong plus: Oracle Analytics Model Administration Tool, Oracle Semantic Data Modeler, Oracle APEX , Oracle Analytics Cloud Data Visualization.
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He/She will work closely with the clinical project scientist team and Clinical Leader in Late Development, in collaboration with other functional disciplines, including GCO, Data Management, Statistics, Regulatory, QMMC, and GMS to ensure flawless and integrated execution of study start-up planning, oversight, and reporting of clinical studies in Oncology.
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Understanding of database internals, large-scale data processing, and data warehouse design. Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users.
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We build our app with React Native and aggregate data from our data warehouse and CRM teams with AWS serverless Node.js Lambdas. Skilled in SQL and NoSQL data stores such as BigQuery, Elastic, DynamoDB, and Redis.
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Solution Design: Define and deliver customer-focused ML and AI solutions that seamlessly integrate with Confluent Cloud data processing, enabling the extraction of valuable insights from streaming data.
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Drive the organization’s goal towards building tools, system architecture, prototypes, frameworks and infrastructure for any of the following: operating systems, kernel development, low level debugging, system profiling, sensor/data management, AOSP, performance profiling, that will impact VR and AR product lines.
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data science jobs Title: san diego in Vermont
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