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Assess, develop, and implement data modernization methods (e.g., use of APIs, machine learning technology such as Natural Language Processing (NLP), and other artificial intelligence [AI] tools) for gathering, analyzing, and visualizing quantitative and qualitative DHP data to further enhance the efficiency, effectiveness, and utility of the Dashboard.
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Analysis, design, development, test, troubleshooting and documentation of complex systems including several of the following: predictive models, feature extraction, data-driven analysis, application of machine learning algorithms, text mining, decision support, variable selection and model fit.
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Coursework and/or experience with advanced data mining algorithms such as machine learning, and logistic/linear regression solutions. The Data Analyst internship is a summer opportunity to work with a specific Business Unit within Equifax.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Also ensures that all reporting and analytical responsibilities are completed competently in a timely manner, continually seeking out opportunities to hone existing technical skills (e.g. writing SQL/code, statistics, machine learning, etc.
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Experience with machine learning, AI, & natural language processing. The Lead Data Analyst / Data Scientist works with business owners, Project Managers, Senior Project Managers and other "Requesters" of data services to translate requests into clear and actionable deliverables and conclusions.
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Familiarity with Machine Learning, Artificial Intelligence, and/or production level model deployment. The Data Analyst is responsible for collecting, organizing, mining, and deeply analyzing data to draw conclusions and develop insights that enable better decision-making and operational effectiveness of business units.
$40 an hourExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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The Data Analyst is responsible for collecting, organizing, mining, and deeply analyzing data to draw conclusions and develop insights that enable better decision-making and operational effectiveness of the business units.
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The Data Analyst is responsible for collecting, organizing, mining, and deeply analyzing data to draw conclusions and develop insights that enable better decision-making and operational effectiveness of Southern Company Gas business units.
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Knowledge of mathematical principles and statistics, Power BI, Tableau, SSRS, Machine Learning, Artificial Intelligence, HTML, Query tools, Report writers, Data mining, Analysis tools, proficiency with Microsoft Excel, Access, Word, and PowerPoint, Data analysis.
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In-depth knowledge of statistics and algorithms used in machine learning, text analytics, deep learning, and/or predictive modeling their appropriate use. Prepare complete and accurate documentation of machine learning processes.
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The Data Analyst is responsible for collecting, organizing, mining, and deeply analyzing data to draw conclusions and develop insights using Power BU that enables better decision-making and operational effectiveness of business units.
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Leveraging your expertise in AI, machine learning, and data science, you will collaborate with cross-functional teams to develop innovative AI solutions that address complex business challenges and unlock new opportunities for growth.
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Strong programming skills in Python and SQL, with the ability to create efficient and maintainable code for machine learning applications. Knowledge of real world application of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.
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