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A Bachelor's degree in Computer Science, Data Science, or related field (or equivalent experience - we're all about skills, not just degrees!) In this role, you'll be the data wrangler, manipulator, and analyzer to turn numbers into insights.
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Education: Bachelor’s degree in computer science, electrical engineering, a related field or equivalent experience. Technical Skills: Familiar with fiber, multi-mode, single-mode and UTP; Clear understanding of bridging, switching, routing, Ethernet, transport technologies and IEEE and ANSI standards; Knowledge of network design, devices, network appliances, network architecture, protocols (ISIS, OSPF, BGP and MPLS) and network topology; In-depth data network knowledge of TCP/IP, OSI model and optical networking; Knowledge of CWDM and DWDM; Proficient in Microsoft Office.
$40 - $45 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor’s degree or higher in a technically oriented field such as Computer Science or Computer Information Systems; or equivalent related work experience. Utilities and jobs to be used with our Axcess family of products, by customers who need additional data import, data export, mass data manipulation, or other integration functionality.
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Bachelor's Degree in Computer Science, Engineering, Data Science, or other related field. Certified in at least one Data Platform and Analytics Tools such as Foundry Data Engineer & Foundry Application Developer within first year of employment.
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Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Familiarity with big data processing tools (e.g., Hadoop, Spark) is advantageous.
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Bachelor of Science Degree, Computer Science, Engineering, Information Systems, or related degree; or 12+ years computer systems engineer/ architect, The Computer Systems Engineer/Architect shall support the mission by performing application administration and maintenance.
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Computer and Information Science, Mathematics, Engineering, Chemical Engineering, Electrical Engineering, Computer Engineering, Mechanical Engineering. The Analytics Engineer is responsible for the end-to-end management of data for the organization, including ingestion, transformation and quality control.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Ph. D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc. Master's degree in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc.
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The Data Engineer should be versed in statistics, predictive modeling, machine learning, computational simulation, geospatial modeling, network science, or other analytic techniques.
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Bachelor's degree required (preferably in: Computer Science, Information Technology, Cybersecurity, Management Information Systems, Business Analytics or Information Systems). Will be responsible for driving efforts to prevent, monitor and respond to information/data breaches and cyber-attacks by developing DLP policies.
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Master’s degree is preferred in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. The Data Engineer builds and maintains data systems and constructs datasets that are easy to analyze and support customer requirements.
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BS in computer science, physics, EE or similar. Python data pipeline development. Develop data pipelines and integrations to CRIMS. Lead Software Engineer. Python data pipeline development.
$200,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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The overall objective is to ensure the execution of Information Security directives and activities in alignment with the company’s data security policy. Demonstrated ability to research and apply current information regarding data leakage protection.
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Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent experience. The company specializes in solving data integration challenges in the Healthcare and Mortgage Banking industries.
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data science computer jobs Title: engineer in Tampa, Kekaha, Hawaii
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