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TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. We are hiring freelance English & Spanish speaking Online Data Analyst's for a project aimed at improving the content and quality of digital maps, which are used by millions of users globally.
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Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others, in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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Advanced degree (MS or higher) in artificial intelligence, machine learning, computer science, data science, or mathematics, highly preferred. Perform data labeling activities to provide context to raw data and support the development of machine learning models.
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Research and analyse specific capabilities or technology areas including but not limited to semantic technologies, robotic process automation, machine learning, and artificial intelligence.
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Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
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Stay informed about current research and best practices in the field of behavior intervention and social-emotional learning. Consult, train, and support classroom staff on collection, entry, and analysis of data utilized in progress monitoring; help to determine the behavioral impact on academic progress and develop indicators of academic, social emotional, and behavioral health of students in the classroom.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Experience with conducting technical and data analysis and tracing cryptocurrency transactions through crypto and cyber data platforms. To develop deep financial intelligence insights, you will explore new data sources, build effective queries, and combine information from disparate sources including intelligence reporting, open-source information, regulatory filings, financial transaction data, blockchain transaction tracing, and more.
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The Personnel Security Specialist understands and interprets data retrieved from PIPS/CVS, NCIC, or file share software and other personnel security related databases. Provide a written report of data received from personnel security reports, records, and investigative materials for review by federal personnel security specialist.
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Support in creating, developing, and executing content, marketing, and data plans that increase revenue with an emphasis on premium seating and ticket sales for Georgetown men’s basketball. Georgetown Athletics and Legends are engaged in a partnership that will integrate data and analytics, premium seating, and ticket sales to maximize the revenue for men’s basketball.
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As a Machine Learning Operations System Administrator, you will support a major program advancing the state of the art in mission-focused big data analytics and predictive analytics.
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Immuta's product addresses complex issues within enterprise IT including virtual data integration, data governance, data consumption for analytic purposes, and data scientist collaboration.
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Collaborate with the instructional design team to develop two e-learning courses on topics related to surface mining regulations and environmental conservation. Established in 1977 under the Surface Mining Control and Reclamation Act (SMCRA), OSMRE's primary mission is to ensure that coal mining activities are conducted in an environmentally responsible manner and that the land is restored to beneficial use following mining operations.
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Research Associate II, Single Cell And Spatial Transcriptomics with Childhood Cancer Data Initiative
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We are seeking a highly motivated Research Associate to provide dedicated single cell and spatial research support for the intramural Childhood Cancer Data Initiative (CCDI) effort. The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.
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learning data mining jobs Title: machine learning scientist in Washington, DC
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