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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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DC Water is seeking a contract or contract-to-hire IT professional to assist with Power BI and SQL Server reports execution, data validation and performance improvement. Experience in creating reports, dashboards, and data visualization using Microsoft Power BI. must have.
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Maintain and grow experience in Database scenarios including Cosmos DB, SQL DB, PostgreSQL and in Analytics, Data warehousing, Data Engineering, Data Science including Intelligent Data and Analytics Platform (Azure SQL DW, Lakehouse architecture, Fabric, Azure Databricks, Power BI), and relevant AI technologies while keeping up to date with market trends and competitive insights.
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Familiar with PySpark and data processing libraries, machine learning frameworks (like Tensorflow, Keras or PyTorch), and other machine learning libraries. Familiar with Machine Learning life cycle, with knowledge of feature stores, MLflow, model registries, model deployment, model serving, and model monitoring.
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The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems. Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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Design, develop, secure, and manage solutions within the Power Platform ecosystem (PowerApps Model-driven/Canvas applications, Automate, and Power BI). Strong Knowledge of Azure Cloud, MS Power Platform, PowerApps, Power Automate and Power BI.
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Skilled in Tableau, Share Point, and/or Microsoft Power BI. The Data Analyst evaluates a range of Monitor and Combat Trafficking in Persons’ (J/TIP) data sources and uses data analytics and data visualization techniques to help the J/TIP office to better explain the complex issue of human trafficking and the impacts of the office’s anti-trafficking work to the public and other stakeholders.
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Familiarity with data visualization tools like Tableau, Looker, or Power BI. Knowledge, Skills, and Abilities: Strong background in data modeling, data warehousing, and data quality assurance.
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Knowledge of data visualization tools such as Tableau, MS Power BI or Looker. Experience developing data products to drive data science and machine learning initiatives.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience or academic work using machine learning techniques.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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The Technology organization works to influence WMG's strategy and optimize day-to-day operations through data, insights, workflow, and machine learning, including generative AI. This position sits within the Technology organization, working closely with colleagues across WMG's recorded music and songwriting/publishing businesses.
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Manage and support the Data Engineering team responsible for leveraging Databricks for data processing, analytics, and machine learning. Proficiency in data engineering concepts, tools, and technologies, with hands-on experience with Databricks or similar platforms.
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Oversee the integration and optimization of tools within the Microsoft 365 and Azure ecosystem, including Power Platform (Power BI, Power Automate, Power Apps), SharePoint, and Dynamics 365, to enhance business processes and improve data-driven decision-making.
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Serve as a trusted advisor to decision-makers, offering consultative insights on how the Nvidia DGX AI platform and machine learning can be applied to their biological data challenges.
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machine learning data mining power bi jobs Title: data analytics consultant in Washington, DC
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