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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.
$184,000 - $248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Transportation, Logistics, Wellness, Mining, Veterinary, Wholesale, Philanthropy. Job titles: Chief Technology Officer, VP of IT, Director of IT, VP of IT Operations, Director of IT Operations, Chief Information Officer, IT Manager, IT Consultant, Chief Data Officer, Chief Security Officer, Technology Manager, IT Operations Manager, Information Systems Manager.
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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Strong proficiency in statistical modeling, machine learning, and data mining. Expertise in programming languages such as Python, R, and SQL, and experience with big data technologies like Databricks and Spark.
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The Senior Vice President will research, analyze, and forecast for the institutional investment community energy public policy issues with a focus on oil and gas upstream, midstream, and downstream, as well as biofuels, autos, mining, energy tax, trade, sanctions, and geopolitics.
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Macmahon is a leading Australian contract mining company with projects throughout Australia and Southeast Asia. Delivering a comprehensive range of surface and underground mining, civil design and construction, performance enhancement, and mine site maintenance and rehabilitation services to the resources sector.
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Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Knowledge, skills, and relevant experience in one or more of the following is required: - Designing and implementing machine learning - Data mining - Advanced analytical algorithms - Programming - Data science - Advanced statistical analysis - Artificial Intelligence - Computational science - Software engineering - Data engineering.
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Do you have the skills necessary to manage, understand, and analyze inhouse and customer data including text mining, developing predictive systems, risk scoring, creating efficient algorithms, data quality improvement and other related activities.
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Provide analysis to advise USCG NSC PMO senior management on all aspects of assigned projects, provide metrics analysis/data mining. The United States Coast Guard (USCG), Office of Acquisitions, National Security Cutter (NSC) Program Management Office (PMO) (COMDT (CG-9321.
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8+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining. Experience with natural language processing, text mining, or machine learning techniques.
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Working knowledge of all of the following financial and IT systems databases: RAPS, PBIS, PBIS-IT, DITPR-DON, and DADMS and the skills to be able to conduct data-mining these and other data sources, both within and external to the DoD.
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Utilize advanced data mining and/or statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations. Coursework, research or experience modeling using Stata and R, and performing advanced economic and econometric/statistical analysis including regression, time series, panel data, discrete event, economic optimization, and stochastic and dynamic general equilibrium models.
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5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining. As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
$93,300 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Company’s end markets benefit from meaningful secular demand tailwinds, and include factory automation, food & beverage, aerospace, medical, data center, warehouse, alternative energy, residential and commercial buildings, general industrial, construction, metals and mining, and agriculture.
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mining job Title: data Company: Aspca in Washington, DC
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