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As a Data SME, your expertise in Data Science, Data Visualization, and Data Engineering will be pivotal in shaping the future of our data-driven capabilities.
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An Associate of Science (A.S.) or Bachelor of Science (B.S.) degree 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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Use the full software lifecycle to create data science products which include data ingestion, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g. file output, database output, standard/streaming output) or a user interface or dashboard.
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Develop, developer, java, php, programming, sde, sdet, software developer, software engineer. ServiceNow developer certification, preferably Certified System Administrator (CSA.
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3+ years of experience as a Full Stack Developer, with demonstrated experience creating data-related software applications from scratch. Your will be developing code in JavaScript with one or more front-end JavaScript frameworks to include React, Angular, or Vue.js and interacting with programming applications such as Rest API. Responsibilities: As a Java Full Stack Developer professional, you will play a crucial role in designing, developing, and maintaining software and technology solutions that facilitate efficient access, analysis, and visualization of large datasets.
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Knowledge of and skill in the use of Structured Query Language (SQL), Python data science and visualization packages (PyMC3, matplotlib, Bokeh, Sci-Kit, TensorFlow), MatLAB, PHP, Tableau, and similar data integration services and data visualization tools.
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Other Qualifications: Master’s degree in computer science, information systems, data science, analytics, statistics, economics, public health, biostatistics, epidemiology, social science, mathematics, or relevant field preferred.
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This is a hands-on cloud software developer/engineering position and requires the ability to proficiently and predictably build and deploy custom applications in AWS cloud. Work collaboratively with user experience designers, platform engineers, product owners, solution architects, and business analysts, the Cloud Applications Full Stack Developer will design, build, test, and deploy high-value, operationally resilient software products on the AWS cloud platform that satisfy functional and non-functional requirements.
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The International Monetary Fund has an immediate opening for a Data Management Analyst/Sr. Data Management Analyst (e-learning Developer) to support its online learning program. Familiarity with multimedia authoring tools and software, including the Adobe Creative Suite (Photoshop, Illustrator, Premiere Pro) and other audio/video editing software.
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Five years in a software engineering management/technical lead position leading a technical team working on DoD or IC programs/projects. Understanding of Geospatial Information Systems (GIS) software as well as software engineering and programming for GIS systems in large computer and minicomputer and microprocessor systems supporting broad base of applications.
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Experience with data engineering tools such as Kubernetes/Rancher, Cloudera. Knowledge of Atlassian software suite tools such as JIRA, JIRA Service Desk, Confluence, etc. Experience maintaining AI/ML environments (NVIDIA hardware and software.
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You will work to cultivate data science skills within the NIH by teaching courses to scientists on best data practices (e.g. Software and Data Carpentries, BrainHack Global as well as interfacing with specific neuroimaging repositories (e.g. The Adolescent Brain and Cognitive Development Project (ABCD), OpenNeuro, UK Biobank, The NIMH Data Archive.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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8+ years of experience and BS Computer Science, Cybersecurity, Computer Engineering or related degree; or HS Diploma and 10+ years of host or digital forensics and network forensic experience.
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Master’s degree in computer science, information systems, data science, analytics, statistics, economics, public health, biostatistics, epidemiology, social science, mathematics, or relevant field preferred.
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software engineering developer data science jobs Title: engineer in Washington, DC
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