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Individually and in collaboration with other DAR staff, performs complex data analyses at both the micro and macro levels and completes special projects to advance the prospect research and relationship management programs.
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Support the operations team in reviewing and editing data within GIS systems (QGIS, CARIS) and ensure data processing workflows are efficient. OverviewERT is in search of an Enterprise Systems Architect to play a crucial role in designing and implementing the architecture for enterprise-level systems.
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Open-Source Proficiency: A proven command of diverse open-source intelligence tools and methodologies for data collection, analysis, and meticulous tracking. As part of our ongoing commitment to bolstering our defenses, we are in search of an exceptional and self-motivated individual to fill the vital role of Cyber Threat Intelligence Analyst within our dynamic and innovative team.
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Data from our missions is used in weather forecasting, climate research, forest fire detection, search and rescue, and much more. The primary functions of the software under your purview are preparing and sending commands to the satellite; receiving, displaying, processing, and moving satellite data; and scheduling and transitioning primary control of these functions among the redundant servers at multiple sites.
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CSP has partnered with an independent International coeducational day school with their search for Human Resources Generalist. Position Overview: As an HR Generalist, you will play a pivotal role in talent acquisition, data management, benefits administration, HR-related projects, collaborating with the department heads, and maintaining confidentiality.
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The ideal candidate will have a strong understanding of AWS architecture, data workflows, scripting, and a variety of tools and platforms to manage large-scale data and operational environments.
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This role will provide exposure to cutting-edge innovations in product search, vector search, natural language processing (NLP), deep learning, and generative AI. In addition to being a strongly motivated IC, you will also be responsible for mentoring junior engineers and guiding them to deliver high impacting products and services for Amazon customers and sellers.
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Desired Skills:Experience with two or more of the following: Python, Silk, JSON, Data Analytics, MongoDB, Elastic Search, Postgress, Ansible, Vue.js, React, HTML, Kubernetes, Docker, Podman, AWS, View Jazz Framework, Process Automation, UI Development, CI/CD knowledge.
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Working experiences in IBM Watson Data Explorer and search engine optimization. Working experience in CSS/SASS, ColdFusion, PL/SQL, XML, and Flash/Flex development. Working experiences in IBM Watson Data Explorer and search engine optimization.
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Key job responsibilitiesWe are looking for a Senior Product Manager-Technical to develop a new search customer experience that will help customers get inspired shopping time-sensitive events and exploring the latest trends on Amazon.
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Proficient in developing strategies for search engine optimization and online marketing. Experience in creating multimedia and interactive content (such as slideshows, videos, data visualization, and timelines.
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As a Senior Software Engineer, you will be responsible for working on projects that support and extend the full stack of the TRSS solutions suite to deliver global data using advanced search, big data ingestion and analytical processing using tools like MongoDB, Elastic, and Kafka as well as building leading edge web applications.
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We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.
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What you’ll do Model Development & Data Strategy: Lead development of machine learning models and algorithms to improve our search ranking and how we match consumers with pros. The role is in our Data Science and Machine Learning team, tackling challenges such as homeowner-pro matching, search ranking, and using predictive models to optimize our product and consumer experience.
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Numbers Station is born out of years of research at Stanford University and our technology already powers assistants and search engines at top tech companies. At Numbers Station, we’re using the latest revolution in artificial intelligence to automate enterprise data tasks.
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