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Required Minimum QualificationsIntern Pursuing a Bachelor’s, Master's, or Doctoral degree in Electrical Engineering and Computer Engineering, Aerospace Engineering, Software Engineering, Imaging Science, Optical Engineering, Applied Mathematics, Physics, Astronomy, Astrophysics, Computer Science or a related discipline.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics. 0 years of related experience with a Ph. D. in Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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Bachelor’s Degree in Environmental Planning, Urban Planning, Geography, Environmental Science, Engineering, or a related field (or equivalent experience.) Prepare and complete environmental survey reports, data entry, impact assessment, and permitting activities for assigned projects (e.g. Endangered Species Act, Clean Water Act permitting, CEQA, NEPA, etc.
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Technical Skills: Experience working with a wide variety of technologies, including: Electronic Medical Records, and Electronic Health Record systems (EMR, EHR) Database technologies (SQL, NoSQL, Oracle, MySQL) Big data technologies (Hadoop, Spark) Data visualization tools (Tableau, Power BI, Cogito) DevOps tools (Azure, Docker, Kubernetes, Jenkins) Enterprise systems (ERP, CRM) Familiarity with healthcare data standards and interoperability.
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Various disciplines are involved in Enterprise Data & Analytics, including data source identification and analysis, data engineering, data visualization, and data science/machine learning.
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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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The Process Automation Engineer will be responsible for planning and executing the migration to paperless processes, leveraging their knowledge of DeltaV Batch. The role involves integrating DeltaV with MES ensuring smooth data exchange and process optimization.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Collaborate with Data Engineering, Data Science, and Software Engineering teams to design systems and products that deliver sports data effectively, enabling the development of engaging features for our customers.
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3 years of experience in at least one of the following regulatory requirements and/or compliance issues affecting clients related to privacy and data protection: PCI DSS, GLBA, Basel II, EU Data Protection Directive, International Cross Border and United States’ State Data Privacy Laws. Must have 3 years of technical architecture experience integrating data protection software into clients' infrastructure and applications.
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7 years of related experience with a Masters' degree in Computer Engineering, Computer Science, Electrical Engineering, Systems Engineering, Aerospace Engineering, Biomedical Engineering, Mechanical Engineering, or related field.
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This role will collaborate with multi-functional teams such as the data engineering, data science and insights analysts to test, validate and monitor data platforms and the data flowing through them.
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Manage and lead architecture and engineering team to deliver an optimized productivity platform and exceptional digital experience (Desktop/laptop hardware configuration, OS platform upgrades, productivity software solutions, end-user management, client software deployment, antivirus systems, and imaging design and engineering.
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software engineering data science migration jobs in Atlanta, GA
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