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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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We're looking for a data architecture Senior Manager like you to solve complex challenges and deliver leading-edge solutions for cloud-based enterprise data architectures that support business operations, advanced analytics, business intelligence and data science initiatives within the federal government.
$122,200 - $227,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Active Top Secret Security Clearance , Required Skills BS or MS degree in Computer Science, Statistics, Mathematics, or a related field Minimum of 8 years experience in data science, data engineering, or a related field, with a proven track record of delivering impactful data-driven solutions.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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These engagements will focus on Real Time and Batch-based Big Data processing, integration and governance, Business Intelligence, Visualizations, data science and Machine Learning.
Full-timeExpandUpdated 22 days ago - UpvoteDownvoteShare Job
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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.
$150ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. This role spans the spectrum of data capabilities from data vision and strategy all the way through data science, in addition to cloud, DevSecOps, and integration capabilities.
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Lead a team of developers and clients will be a mix of clinicians, computer scientists, data architects, and life science SMEs. May wear multiple hats: architecture design and development, code reviews, mainframe deployment and customization, responsible for the system quality of the solution being delivered to the business.
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Deep Technical expertise with the ability to generat e solutions for a wide variety of focus areas including DevSecOps , Infrastructure Services, Cloud Computing, Data Science, Data Management, etc.
$200ExpandUpdated 21 days ago - UpvoteDownvoteShare Job
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Demonstrated subject matter expertise in one or more technical fields relevant to Enterprise Data Management, such as Databases, Data Engineering, Data Science, Data Mesh, Data Fabric, Feature Engineering, Data Quality, Data Governance and Metadata Management, Data Catalogs, and Data Privacy and Security.
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Experience with data governance, data quality, and regulatory compliance. Open to traveling within the Washington DC Metro Area, and CONUS.Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or related field.
$110,000 - $130,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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One or more of the following certifications: AWS Certified Data Engineer - Associate Data Science Council of America (DASCA) Senior Data Architect (SDA) Certification Microsoft Certified: Azure Data Engineer Associate Google Professional Data Engineer Certification SAS Certified Big Data Professional IBM Certified Data Architect – Big Data.
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This individual shall provide technical Request for Quotation Real Property Management System guidance on designing solutions that might include a hybrid of DHS Data Centers, Office 365, Dynamics 365 Online, Power Platform, and Azure products/services.
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Business Intelligence (BI), Data Science, ETL, Feature Engineering, Machine Learning Algorithms. Machine Learning and Data Science: Strong understanding of machine learning algorithms, Data preprocessing techniques and feature engineering.
$150ExpandUpdated 22 days ago - UpvoteDownvoteShare Job
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Founded in 2000, Applied Minds draws on the talents of nearly 150 employees and a network of subject matter experts to innovate by melding art, design, science, and engineering. Experience with MapReduce, Big Data Processing, Machine Learning/Neural Networks, Advanced Data Analytics.
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data science jobs Title: architect in Bethesda, MD
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