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4 years of experience working on data science or image science problems that require subject matter expertise in remote sensing, government collection platforms and image datasets, multispectral imagery (MSI) and synthetic aperture radar (SAR) imagery.
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Experience leveraging Esri's software capabilities including, mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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The role fits into an existing team of passionate developers and earth science modelers with backgrounds in hydrology, fluid dynamics, meteorology, computer science, geographic information systems (GIS), environmental science, civil engineering, and statistics.
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Familiarity with data science including analysis and reduction techniques, numerical algorithms, control systems, big data, and deep learning concepts. Educational/Experience Requirements:Masters or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required.
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Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretationCollaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiativesEnsuring data quality, accuracy, and compliance with data governance and privacy standards Requirements:Education: A bachelor’s degree or higher in human resources, statistics, data science, business, or equivalent related experience.
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Demonstrated expertise in photogrammetry, remote sensing, image science, information sciences, geographic information systems, geomatics, or related fields. Skills and Experience: Required: Active TS/SCI Security Clearance Bachelor’s degree or higher in Systems Engineering or in a related technical or scientific fields such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program, or related equivalent additional experience.
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Desired: Master’s degree or higher in Systems Engineering or in a related technical or scientific fields such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
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Demonstrated professional experience in advanced Data Science domains such as predictive modeling, Large Language Models, machine learning, text mining, and/or data engineering. Collaborate with Business Unit Stakeholders, Data Science practitioners, Enterprise Data & Analytics engineering, Enterprise Architecture, Modern Deployment, and AI Working Group to define appropriate platforms, technology and execution strategy for Cognitive AI/ML/NLP Use Cases and transition ideas from incubation into mainstream production deployment and adoption across NFCU.
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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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We are particularly interested in candidates in the areas of Artificial Intelligence (including Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, and Information System Design.
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Data Science, Software Engineering, Cloud/AWS Infrastructure, and Cyber/CNO are our core areas of expertise. The Sponsor's office completes short-term prioritized data science projects, which require programmatic and technical support.
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You will stay at the cutting edge of data science and machine learning advancements, continuously exploring new technologies to enhance the team's technical capabilities. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.
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Bachelor's degree in Computer Science or data related field required and 8+ years experience. Understand data lakehouse technologies like Iceberg, Databricks, Redshift Spectrum, Athena and Snowflake.
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Demonstrate the ability to access, trace, analyze, and remediate data issues leveraging SQL and applicable AWS tools such as Athena and Redshift. Develop scripts to extract data in Athena, Timestream and Redshift.
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The VA2 Facilities and Data Center Technician IV must possess an expert level of knowledge and will be responsible for the operational integrity and regulatory compliance of the facilities and data center electrical, mechanical, fire life safety systems, and communications infrastructure.
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data science jobs Company: Vector Marketing in Herndon, VA
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