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Apache Hadoop or Apache Spark (for big data processing) Data Warehousing (e.g., AWS Redshift, Google BigQuery) Natural Language Processing (NLP) Tools and Frameworks (e.g., Hugging Face, AWS Comprehend Medical for extracting insights from clinical text data.
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Human-Centered Data Science (e.g., databases, big data, information retrieval, robotics, artificial intelligence, information visualization) Cultural Heritage Informatics (e.g., archives, digital collections, preservation, digital curation, digital humanities, museum studies, metadata, cultural studies of information technology, history of information, critical data studies.
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Experience in Big 4/public accounting performing audits and related services for a diverse client base, and at least 7-8+ years of transaction services / due diligence experience. Data gathering, manipulation, and analysis.
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Experience working with data analysis and visualization tools such as MiniTab, JMP, Tableau. Title: Data Scientist / Statistician. Project management acumen and/or experience a big plus, to include schedule management and/or familiarity working within JIRA/Conflunece (Atlassian) suite.
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4 + years implementing Big Data solutions - Hadoop, Hive, Pig, Impala, Oozie, MapReduce, Apache Spark etc. Work with DBA and Data Modeler to design and implement changes for application engagements to facilitate the archive and purge of non-compliant data.
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As needed, collaborate with internal and external collaborators to identify optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using data science.
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Interact with ERCOT, power plants, market participants, and vendor personnel to coordinate and configure data and control communications using telecommunication (ICCP, MODBUS, and DNP) protocols.
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Advanced: create/edit complex documents & spreadsheets; integrate features such as tables, charts, mathematic formulas, hyperlinks, graphics; data/mail merge, import data from one document to another.
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4 years of experience in data analytics, data science, statistics, intel (e.g., geopolitical research, open-source intelligence (OSINT), etc.) They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right.
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Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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Certifications: Privacy focused certifications such as Certified Information Privacy Professional (CIPP- US); Certified Information Privacy Manager (CIPM); Certified Information Privacy Technologist (CIPT); Certified Data Privacy Professional (CDPP.
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The ideal candidate MUST have a strong background in inventory management, data analysis, and experience working with Amazon Seller Central and FBA replenishment processes. Based in Austin, TX, Upper Echelon Products© (“UEP”) is a data-centric consumer products firm specializing in a diverse range of branded items distributed via eCommerce platforms.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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The Fire Protection Engineer will be responsible for the design, development, and implementation of comprehensive fire protection systems for data centers. Conduct risk assessments and fire safety evaluations for data center facilities.
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As a Data Center Power Engineer , you will focus on supporting and leading elements of the overall architecture, design, testing and implementation of electrical power systems for Modular Data Centers.
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big data jobs Company: Dhl Express in Austin, TX
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