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Experience in cloud environments with a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position. Location: Springfield, Virginia Description: C-Star Solutions is searching for a data scientist to support research and development efforts at National Geospatial-Intelligence Agency (NGA.
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Serve as a Subject Matter Expert (SME) on development of GEOINT standards with the objective of facilitating compliance and interoperability through integration of NSG & ASG requirements while reducing technical and schedule risk associated with Data, Metadata, and Ontology standards.
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Big Data Technologies:Distributed Computing: Tools like Apache Spark, Hadoop. 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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The Department of Homeland Security (DHS) is recruiting professionals to support a range of developmental roles in Cybersecurity Data Science, including Data Scientist, Artificial Intelligence (AI) Specialist, AI Operationalization Analyst, Data Modeler, Data Security Analyst and Operations Research Analyst.
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Lead data center core and shell due diligence and design projects (including civil, structural, mechanical, electrical, plumbing, security, and fire protection for greenfield and add/move/change projects) from start to finish, ensuring budget/schedule adherence, satisfaction of design requirements, and repeatable quality.
$200,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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As a CACI-SOAS C-UAS Signals Data Analyst, you will conduct data analysis of specialized C-UAS threat systems’ data to assist with Department of Defense (DoD) Force Protection (FP) efforts to understand, minimize and mitigate the threat posed by Unmanned Aerial Systems (UAS) against critical infrastructure, locations, assets and personnel.
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High level of proficiency in Python, DataBricks, SQL, Spark, and other Data Engineering and DataScience tools. Desired Qualifications:- TS/SCI clearance is required- Minimum of 3 years of experience as a military Data Subject Matter Expert or related role, withdemonstrated experience with digital strategy, IT project management, enterprise architecture,SDLC (Software Development Life Cycle), or transformation.
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Must be a US Citizen with a Top Secret security clearance and able to obtain SCI clearance with polygraph - Bachelor's Degree or equivalent with 4 years of professional experience as an intelligence analyst, data collector, or linguist.
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Architect, engineer, and lead data integration efforts to deploy a single ICAM solution/Identity management platform (SailPoint & Radiant Logic) to manage identities for 100K+ users spanning numerous identity sources and platforms.
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Understand data lakehouse technologies like Iceberg, Databricks, Redshift Spectrum, Athena and Snowflake. CGI Federal is hiring a Data Engineer SME (Data Collection Engines) to work with a skilled and motivated team of professionals on a high-visibility Department of Homeland Security (DHS) Cybersecurity and Infrastructure Security Agency (CISA) cyber security program.
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Familiar with Agile Frameworks (SAFE), Autosys / Workflow, Azure API Management, Azure Data Catalog, Azure Data Factory, Azure DevOps, IBM Infosphere, Microsoft Office Products, Microsoft Power BI, Oracle Databases, SQL, Tableau.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
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The scope of responsibility includes components of overseas and domestic refugee case processing, Information Technology (IT) infrastructure and network support, the maintenance and enhancement of PRM's refugee case processing software and data analytics capabilities, and cybersecurity compliance according to DOS policy and guidelines.
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As a Data Scientist / ML Engineer, you will be the trusted technical ML expert and work with our data engineering team to architect production-grade ML applications on Databricks. Collaborate with our data engineering team to represent the voice of the customer, define priorities, and influence the product roadmap, helping with the adoption of Databricks' ML offerings.
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As a Senior Data Scientist, your skillset will create useful and actionable insight for the customer through the development of machine learning, deep learning models, and related algorithms. 10 or more years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering.
$105,353 - $179,101 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today
data job Title: hadoop consultant Company: Kpmg in Vienna, VA
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