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Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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Education and Certifications: Bachelor's degree in Geography or related physical or geospatial science such as Civil Engineering Technology, Construction Technology, Cartography, Information Technology, Computer Science, Urban Studies/ Planning, Architecture, Engineering, Interior Design, Drafting or Construction related field or a minimum of 10 years' experience in CAD Management.
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Experience with artifi cia l intelligence, data science, ML engineering, data research, software engineering or data analytics. As a machine learning engineer, you'll train, test, deploy, and maintain models that learn from data.
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Knowledge, skills, and relevant experience in one or more of the following is required: - Designing and implementing machine learning - Data mining - Advanced analytical algorithms - Programming - Data science - Advanced statistical analysis - Artificial Intelligence - Computational science - Software engineering - Data engineering.
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Doctorate degree in Electrical Engineering, Physics, Mathematics, Computer Science, Computer Engineering, Data Science, or Software Engineering. Master's degree in Electrical Engineering, Physics, Mathematics, Computer Science, Computer Engineering, Data Science, or Software Engineering.
$110,100 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelors Degree in in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science or related fields if accompanied by a Certificate in Data Science from an accredited college/university.
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GAM1 is seeking qualified remote scientific programmer and software engineer candidates to support NOAA’s Application and Science Common Services Support (ASCSS). Once operational, the software will process large amounts of input data from satellites and dozens of operational datasets maintained by NOAA, NASA, and other international weather agencies.
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Master’s degree in computer science, data science, applied mathematics/statistics, operation research, artificial intelligence, or other physical science/engineering fields.
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BS Computer Science, Computer Engineering, Computer Information Systems, Computer Systems Engineering or related degree; or HS Diploma & 4-6 years of directly relevant experience.
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Bachelor's or Master's degree in transportation, civil engineering, data science, electrical engineering, urban planning, or a related field. Use software such as Synchro/SimTraffic, Sidra, HCS, Vistro, Vissim, Visum, TransModeler and others effectively to make quick and accurate computations.
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Greystones is seeking a Full Stack Software Engineer III who applies the principles and techniques of artificial intelligence, machine learning operations, applied data science and engineering to the design, development, testing, and evaluation of the software and systems that enable computers to perform their many applications.
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Minimum 2+ years experience with Databricks for data pipelines, models and data science development Minimum 1+ years experience working with graph databases such as Neo4J, AWS Neptune or others Exposure to Tableau, PowerBI, and/or SAS Viya business intelligence tools Ability to effectively communicate in writing and orally with a wide range of audiences and maintain interpersonal relationships.
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With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries.
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Specific Qualifications: Certifications & Licenses - Ph. D. Field of Study - Chemistry - Biochemical Sciences - Biology - Microbiology - Molecular Biology - Neuroscience - Genetics - Biomedical Engineering - Pharmacology - Physiology - Community and Public Health Software - Outlook - QVR - Microsoft Teams - Microsoft office Skills - Communication Skills (oral and written) - Scientific Writing and Editorial Skills - Peer review process for grants.
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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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software engineering data science jobs in Washington, DC
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