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Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Leverage Databricks for data engineering, analytics, and machine learning tasks within application development. Experience with Databricks for data engineering and analytics, including familiarity with Spark, Delta Lake, and MLflow.
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Bachelor’s degree in computer science, Engineering, or Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, or related field and 7 years of experience OR a Master's degree and 5 years of experience or equivalent experience.
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An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
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Experience with COTS enterprise data visualization tools (e.g., Qlik, SAP Lumira) Experience with ADVANA, PYTHON, R languages, Visio, and Data Bricks. Ability to work iteratively with the business community to gather requirements and develop enterprise level visualizations using agile methods Experience developing data visualizations against ERP transactional and analytical data models Creates complex queries, and stored procedures to deliver dynamic data visualizations Requires Qlik Sense or Qlik View certification Eight (8) years + relevant experience Experience with complex custom-developed visualizations using D3, HTML, JavaScript, etc.
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A candidate who will architect and implement machine learning and extract-transform-load (ETL) algorithms and conduct data integrity and validation actions. Ability/experience to research and develop algorithms to analyze structured cyber-security data, including supervised machine learning, entity resolution, classification, and the implementation of analytical algorithms on a distributed cloud-based infrastructure.
Full-timeWork from homeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Required Technical Skills : Knowledge/experience in one or more of the following:Back-end Development: Experience with Java, PythonFront-end Development: Course or internship experience with UI/UX design concepts and frameworks (CSS/HTML, JavaScript ie Angular, Vue, Reacts)Experience with data engineering or machine learning technologies.
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SAIC’s National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, DevSecOps, cloud network operations, and secure communications.
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A proven background and recent experience in modern networking architecture practice including experience in network design/operations for campus, DC and WAN environments leveraging leading networking technologies across multi-vendor deployments (Arista, Cisco, Juniper, Dell.
$201,950 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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Cloudera Data Platform Private Cloud and Public Cloud), Apache Solr as SME, automation tools (ex. Ansible, Terraform, Bit Bucket) and experience working cloud solutions (specifically data products on AWS) are necessary.
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The SDS should have expertise and/or experience in implementing deep learning or artificial intelligence (AI) projects in a High-Performance Computing (HPC) environment; and will be experienced in working with federal government categorical data from flat files, data warehouses, and external/academic sources, and should demonstrate experience as a data scientist and/or machine learning engineer.
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Our support team applies best practices in architecture design, data science, cloud services, DevSecOps and platform integration to develop, sustain and continually evolve the enterprise business systems environment, systems integration, and back-end business process workflows.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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ICF is currently seeking a Data/CQI Administrative Specialist position to support data analysis, data visualization and data storytelling across the project. Demonstrated experience in data management, relational databases, data visualization and data storytelling techniques and principles, including use of software such as Tableau, PowerBI, or Excel.
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Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground.
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