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These can include cloud infrastructure, AI/ML applications, geospatial analytic tools, data analytics platforms, large-scale data systems, multilingual translation tools, additive manufacturing tools, autonomous platforms, supply chain solutions, cybersecurity solutions, cryptocurrency, computer vision, SaaS products, wireless communications, RF systems, microelectronics, materials science, space systems, and biotechnology.
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Coordinate and oversee the gathering and consolidation of retail revenue, wholesale cost, and all other non-standard transaction data to prepare month-end. Coordinate and oversee the gathering and consolidation of retail revenue, prepare wholesale cost and all other non-standard transaction data for month-end close.
$159,500 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions. Drive business strategy discussions on how to leverage Data, AI, model development, or model validation to create improved business results.
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Serve as a Subject Mater 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.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Conducting office work to include data analysis, client and subcontractor coordination, proposal preparation, assistance with numerical groundwater models, map preparation, technical reporting, etc.
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As a Data Scientist on the deployment & platform side of the team, you'll be at the forefront helping us to usher in the next wave of disruption by using the latest technology to deploy, optimize and modernize model pipelines and execution platforms that enable machine learning models to provide powerful insights about our portfolio and growth opportunities through new data sources.
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Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP). Our data exploitation approach is tightly integrated with Human-Centered Design and DevSecOps.
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Prior industry experience with forensic DNA profiling tools including: GeneMapper ID-X STRmix model maker Interpretation of complex STR profiles Stutter thresholds and calculator aids CE instrumentation and data.
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Novice in Python, Agile Frameworks (SAFE), Microsoft Databricks, Snowflake, Azure Data Factory, HDInsight, Hive (Apache), Cognos. Proficient with data visualization tools such as Microsoft Power BI, Tableau; ability to manipulate raw data into effective visualization dashboards.
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This role will be a key member of our team supporting the Chief Data Officer (CDO), focusing on initiatives such as Data Governance, Data Inventory Program (DIP), Data Architecture, and Ontology development.
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Analyze and interpret survey, maps, drawings, blueprints, aerial photographs, water quality data and other analytical data to plan and design water and wastewater treatment facilities, storage tanks and pump stations.
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Conducts travel research to support complex travel needs and a diverse range of traveler profiles, including airline safety data, and makes recommendations based on current IATA, State Dept., and EU data.
$85,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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Strong knowledge of data governance frameworks, data quality, and master data management (MDM) principles. The ideal candidate must have a proven track record in big data architecture, working in a cloud environment, particularly AWS. The role requires a deep understanding of data governance, data modeling, and advanced analytics, combined with strong leadership skills to guide the organization's data strategy.
Full-timeExpandApply NowActive JobUpdated 19 days ago
data job Company: Red Hat in Vienna, VA
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