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Able to operate underground mining equipment with precision and excellence in a confined space. At least one year of proficient experience operating underground mining equipment – such as a roof bolter, face drill, or scaler – is preferred.
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Master’s degree in data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field (MBA Preferred.
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The Company has Bitcoin mining data center operations in central Texas and electrical switchgear engineering and fabrication operations in Denver, Colorado. Riot is actively expanding and improving its Bitcoin mining operations through innovation, expansion, and procurement, including large-scale expansion of its Texas-based mining and hosting facilities.
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Associates degree and 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience.
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Perform data mining, statistical analysis, and predictive modeling. We are seeking a talented and experienced Data Scientist to join our team onsite at Warner Robins Air Force Base (AFB), GA. This role is integral to harnessing data to support mission-critical decisions in a secure defense environment.
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Experience: Minimum of 5 years of experience in maintenance engineering, preferably in an underground mining environment. Physical Requirements: Ability to work in underground mining environments with varying conditions.
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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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Risk Adjustment Experience in risk adjustment, clinical coding, financial reporting/analysis, or CMS/State encounters and regulatory file submissions preferred; Experience with data mining, population health, and statistical modeling preferred.
$97,100 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Research, Implement and utilize cutting edge mining tools and methods such as the use of GPS, mine planning and scheduling software, continuous equipment data collections systems, automation, etc.
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Industry leading, very reputable and well established manufacturing company is looking for a promotable Mining Supervisor in the Winchester, VA area. Specific planning and sequencing of surface mining operations around and/or on top of historical underground workings.
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Our rapidly growing Industrial market encompasses a a broad range of projects that can span from Water/Wastewater treatment, Food & Beverage processing, Mineral Processing, Renewable Fuels, Pulp and Paper, Steel & Aluminum, Specialty chemical, Industrial Energy, Manufacturing, Automotive and Emerging Industrial Markets like EVBattery, Data Centers and Semiconductors.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Drives and/or participates in data pipeline development, deployment, and maintenance activities leveraging tools including Python, SQL, Databricks, Azure DevOps, and Azure Data Factory. We are a true farm-to-table company with an integrated portfolio including food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture.
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Proficient with software used for data mining, statistical analysis, and data visualization (SAS, SQL, R, SPSS, Qlik, Power BI, Tableau, etc.) in order to construct a robust, accurate, 360-view data environment that is unique to each clientDemonstrated performance excellence in one or more of the following computer languages: SQL, SAS, R, PythonEmploying techniques such as a case-control study, regression analyses, principal component analyses, clustering exercises, propensity scoring, classification, ROI calculation, etc.
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Maximo/Cognos Management: – Follow up and perform data mining in Maximo for DRs. – Pull and review reports for data accuracy and analysis. The ideal candidate will have experience with Maximo, Cognos, and MyTSR/PDMS systems, and will be responsible for a variety of clerical and data management tasks.
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data mining jobs Title: financial analyst Company: Indeed
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