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Expertise in Python, R, SQL, statistics, data mining. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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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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Designing enterprise data platforms on cloud (Azure/AWS/GCP) including services like ETL pipelines, Data Modeling, Visualization, Data Governance, RDM/MDM, etc. Proven work experience as a Data Solution Architect or similar role in building data architecture, Data models, Pipeline using AWS services (S3, Lambda, Glue, Athena, QuickSight, etc.
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Experience performing data science / analytics, such as statistical modelling, predictive analysis, or machine learning using Python, SQL, PySpark and cloud-based tools such as Big Query, Databricks.
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Primary responsibilities will be performing traffic engineering design and analysis related to traffic signals, signing and pavement markings, lighting, work zone traffic control, Intelligent Transportation Systems (ITS), and traffic operational analyses.
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Additional bonus if the candidate has worked with any other email marketing and marketing automation platforms such as MailChimp, HubSpot, Marketo, Eloqua, or Adobe Campaign. Licenses and CertificationsSalesforce Marketing Cloud Email Specialist (required)Salesforce Marketing Cloud Administrator (Preferred)Salesforce Marketing Cloud Developer / Salesforce Marketing Cloud Consultant (preferred)Other Salesforce certifications is a plus.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Intermediate Work Zone Traffic Control - VDOT Approved Provider. Pavement Marking - VDOT. Hydraulic Cement Concrete Field - VDOT or NICET LEVEL II* Soil and Aggregate Compaction - VDOT or NICET LEVEL II.
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Will leverage a range of data sources (e.g., Web traffic, customer requests for information, survey responses, production databases, etc.) Will maintain, move, and manipulate data between applications, using appropriate software/code: Apache Spark, ElasticSearch, R, Python, Kibana and others as technology evolves.
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Extracting features from a variety of sources including but not necessarily limited to rasterized nautical charts, digital hydrographic survey data and ortho-rectified imagery; writing Python Scripts in ARCGIS to improve efficiency of the production process; Data Conversion/migration.
$48,100 - $86,950 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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10+ years of experience in design and specification of: lighting systems, power systems, fire alarm systems, telcom/data systems, medium voltage power systems, UPS systems, emergency generator systems, grounding systems, and utility systems.
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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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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.
$87,100 - $157,450 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Data Engineer will be responsible for guiding the design, development, of Navy Federal's Data with a specific focus on Pega DataFlow, and ETL pipelines to support Pega Marketing systems capabilities.
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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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Certifications and specialization in IT Ops, Infrastructure, APM, Data Engineering, Machine Learning, Data Infrastructure. Master data modeling, develop and optimize queries, tune and scale clusters, prioritizing fast search and analytics at scale.
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data engine marketing traffic jobs in Fairfax, VA
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