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Experience with machine learning, data mining, statistical analysis, data structures (preferred). In this role you will provide public health programmatic, epidemiological, and scientific data analytical support to the CDC Office of Public Health Data, Surveillance, and Technology (OPHDST.
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Experience in data mining and understanding of Machine Learning or operations research. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation.
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Develop and implement statistical models, machine learning algorithms, and data mining techniques to solve business problems. Strong proficiency in SQL and data analysis tools (e.g., Python, R, Tableau.
$142,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics, for example) on structured and unstructured data.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
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Responsibilities include delivering projects on time and within scope with an in-depth knowledge of big data and cutting edge data mining techniques as well as the use of predictive, classification, machine learning and alternate analytic algorithms for modeling and segmentation.
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Job expectations include deployment of advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) Codes complex solutions to integrate, clean, transform, and control data, builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, assembles complex data sets, and communicates required information for deployment.
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Data Scientist is responsible for mining and analyzing data from various internal and external data sources to drive optimization and improvement of operations, clinical outcomes, and business strategies.
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