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3+ years of experience with artificial intelligence, data science, ML engineering, data research, software engineering, or data analytics. Master's Degree in Computer Science, Software Engineering, Data Science, Statistics, or STEM-related specialty.
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Ph. D. in data science, artificial intelligence, computer science, mathematics, data engineering, or a related technical field. Master's degree in data science (DS), artificial intelligence (AI), computer science (CS), mathematics, data engineering (DE), or a related technical field.
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Bachelor's Degree in CAD, BIM, GIS, Computer Science, Geography, Environmental Science, Data Science, Engineering, or related field + 6 years of experience or demonstrated equivalency and / or education.
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Bachelor's degree in Business Administration, Computer Science, Engineering, Remote Sensing, Photogrammetry, Image Science, Data Science, Information Technology, Management Information Systems, Geographic Information Systems, Geography, or other related degree program or equivalent Senior Level experience as a Functional Specialist.
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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.
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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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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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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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Minimum qualifications: Bachelor’s degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience.
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Bachelor of Science degree in Computer Engineering, computer information systems, telecommunications, or management information systems, and 5+ years of mainframe services experience. Thorough knowledge of TSO/ISPF, System Modification Program/Extended (SMP/E), IBM and IBM-related utility programs [i.e., IDCAMS, IEBCOPY, Fast Dump Restore (FDR), Data Facility Data Set Services (DFDSS), z/OS file structures, Integrated Catalog Facility (ICF) Catalogs, Virtual Storage Access Method (VSAM) and zFS file systems.
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Proven capability in data engineering or data science, with practical experience using AWS SageMaker and other industry-standard data analytics tools. Work collaboratively with application engineering, DevOps teams, and data scientists to ensure full integration and optimization of AI/ML models and Big Data processing.
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Bachelor's Degree in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields (strong mathematical/statistics background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint) preferred.
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B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master s degree or equivalent graduate degree including certificate-based advanced training courses.
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Experience with Hadoop, Spark, or other parallel storage/computing processes Strong engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics.
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A technical degree in one of the following: Electrical Engineering, Data Science and Analytics, Operations Research, Systems Engineering, Model Based Systems Engineering, Digital Engineering, Communications Engineering, AI/ML, Computer Science, or another STEM field of study.
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engineering data science jobs in Washington, DC
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