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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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Develops training materials and provides training as necessary (SharePoint, Microsoft Power BI,ARS data input tool, etc. SAM’s lead representative to ASC’s Data Intelligence working group for development of SharePoint solutions and creation of data visualizations using Microsoft Power BI. Collaborates with other Science and Area Management representatives of the Data Intelligence group.
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Conduct complex mathematical analysis utilizing various statistical methods or techniques including machine learning, logistic regression and various other ensemble techniques. Visualize results of analyses utilizing reporting tools such as Power BI, Tableau.
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Deep knowledge of PowerApps, Power Automate, Power BI, and other Power Platform components. 5+ years of experience as a Solution Architect with a focus on PowerApps and the Power Platform.
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Develop and debug scripts to perform ongoing data analysis, AML transaction monitoring rules tuning utilizing programming languages such as SQL, Python. Analyze and interpret data to facilitate statistical analysis for development, testing or tuning of financial crimes compliance detection rules.
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The University of Southern California's Leonard D. Schaeffer Center for Health Policy and Economics is now accepting applications for one or more Postdoctoral Fellowships in health policy, health economics, and health services research with a specific focus on machine learning and data science applications in health economics and outcomes research (HEOR) and pharmacovigilance.
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Experience with common BI and data exploration tools (e.g., Power BI, Microstrategy, Looker, Tableau) Expert knowledge of complete data analytics stack and workflow ETL, Data platform design, BI & Analytics, ML tools & platforms.
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Experience in assessing and implementing new data tools to enhance the machine learning stack. 100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company.
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Experience with Spark, DBT, Machine Learning, Data Pipelining, Robotics, or autonomous systems are all a plus. Design, build, and maintain scalable data pipelines to ingest, process, and analyze large volumes of flight telemetry and other drone-related data.
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Qualifications We DesireMaster’s degree in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field. Knowledge and experience developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
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Atlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (ComEd), Delmarva Power & Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco.
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Requires knowledge of various analytical tools (Tableau, Power BI, Qlikview) to extract data, and dashboard success metrics and key KPIs for automation projects. By utilizing RPA, Machine Learning and other Data Science applications, this individual will contribute to both the team’s vision and development as a thought leader for future innovation.
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Design software architecture and data flows for scalable machine learning development work. We are seeking a Director of Software Engineering to lead a team developing our fraud, risk, and Machine Learning data solutions.
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Experience with tools such as Power BI, Tableau and/or Qlik for creating data visualizations. The Humana Enterprise Operations Enablement (EOE) - CPSS Data & Analytics - BI (Business Intelligence) team is a high performing team focused on data management, data visualization and data science supporting Humana's Service Operations.
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Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in timely manner to automatically tackle the issues or provide recommendations for the next step of solving problem.
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machine learning data mining power bi jobs Title: data analytics consultant
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