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Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, linguistics and physics.
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Good to have - Airflow, Splunk, Kubernetes, Power BI, Git, Azure DevOps Project Management using Agile, Scrum B.S. Degree in a data-centric field (Mathematics, Economics, Computer Science, Engineering or other science field), Information Systems, Information Processing or engineering.
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Degree must be in Network Engineering, Systems Engineering, Information Technology or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, Software Engineering, Information Assurance, or Computer Security.
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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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An advanced degree (master’s or doctoral) in a quantitative fields including but not limited to Computer Science, Applied Mathematics, Astro/Physics, Computational Chemistry, all relevant engineering and science disciplines.
$212,000 - $318,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Masters degree in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
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Faculty research interests include algorithms and theory, AI and machine learning, bioinformatics, cyber-physical systems, computer networks, computer science education, computer vision and image processing, computational topology, data science, high performance computing, human computer interaction, open-source software, robotics and remote sensing, security and privacy, and software engineering.
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Bachelor's degree or equivalent practical experience in incident response, computer science, cybersecurity, information technology, software engineering, information systems, or computer engineering.
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Bachelor’s degree in Computer Science, Engineering, IT, MIS, or a related disciplineExpertise in Python, SQL, and RExpertise in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON Expertise in ETL concerning metadata management and data validation Expertise in Unix and Git Expertise in Automation tools (Autosys, Cron, Airflow, etc.
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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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Proficiency in computer science and software engineering fundamentals, including the ability to program in Python and/or Go. Proficient in Docker and Kubernetes. Design, develop, and maintain data infrastructure software using Python and Go (familiarity with GraphQL a plus)Implement and manage DevOps processes for Data Engineering toolsUse Docker and Kubernetes to build and deploy containerized applications.
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Bachelors in computer science, computer engineering, cyber security, information systems, electrical engineering or related field required. Advanced degree in EE, computer science or other related fields strongly preferred.
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This role will be part of a dedicated hybrid actuarial/data science team designing and delivering powerful analytical tools utilizing statistical modeling, machine learning, cloud computing, and big data platforms to enhance or overhaul core actuarial processes.
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Team Management Manage & Coordinate team of Data Steward, Business Intelligence, Data Engineering, Data Governance & Data Science. The role oversees the Data Platform team with Data Steward, Business Intelligence, Data Engineering, Data Governance, and Data Science.
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Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, InformationManagement, Business Administration, or a closely related field and four (4) years of experience as a Director, Software Engineer (or closely related occupation) leading a team ofengineers in the design and implementation of Content Management Systems (CMS.
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data science computer engineering jobs Title: data analyst Company: Hazen And Sawyer
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