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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. Ensure the day-to-day operations of the facility or data centers, including custodial, engineering, site services, mining operations, electrical, and general maintenance, are implemented and conducted in a manner consistent with Riot policies and directives.
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Experience using a broad range of Microsoft software applications, marketing research tools, trends, data mining and technologies (e.g., Tableau, Power BI, Databricks, JMP, and SQL, etc.
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Must demonstrate knowledge and understanding of rock and sand mining, ready-mix concrete, and/or asphalt operations and equipment, MSHA regulations, engineering principles and procedures, and quality control systems and processes.
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Plan the daily operation scheduling of plant production to ensure optimal utilization of plant and equipment, personnel and inventory requirements, and work procedures in regards to stripping, mining, processing, stockpiling, loading and shipping.
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When determining a candidate's compensation, we consider a number of factors, including skillset, experience, job scope, and current market data. Previous experience in supervising production employees preferably at either an aggregate, sand/gravel or asphalt plant preferred.
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Bachelor’s degree plus at least 7 years in a data engineering role including ETL development, database development, data integration, data mining, big data. The Senior Data Engineer will work with our data warehousing team to transform transactional data into datasets that are consumable by a variety of consumers, for reporting and analytics.
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Committed to delivering a Higher Level of Reliability, Acuren provides an unrivaled spectrum of capabilities including inspection, traditional and advanced NDE/NDT, failure analysis, rope access, materials engineering, field engineering, reliability engineering, drones, robotics, V-Deck and condition-based monitoring services.
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Position Description: Radiance is seeking a Machine Learning Engineer who will advance the artificial intelligence capabilities of the National Air and Space Intelligence Center at Wright Patterson Air Force Base. This engineer will provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources and develop machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection.
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Five years of development experience with cloud services (e.g. AWS/Azure) utilizing various support tools (e.g. EC2, ECS, S3, Kinesis, VMs, Blob, Cosmos, Data Factory, SQL Data warehouse, ARM Templates, Event Hubs.
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Responsible for safely and efficiently operating various drills at a surface mining operation, drilling overburden, parting and coal in preparation for loading of holes with explosives. Current Wyoming blaster's certification in surface mining operations.
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Career Segment: Coal Mining, Compliance, Equity, Law, Mining, Legal, Finance. Career Segment: Coal Mining, Compliance, Equity, Law, Mining, Legal, Finance. Driller/Shooter (Cert)- Bridger Coal Company, Point of Rocks, WY #112463.
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Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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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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The Executive Director of Data Engineering and Technology will spearhead and oversee the newly formed data technology team at NYC DOHMH. This role is critical in implementing our data modernization and data systems transformation.
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Provide oversight with collecting, compiling, and analyzing data from the physical work site, surveys, blueprints, GIS data, subsurface utility information, maps, hydrologic analysis, geotechnical data, and other matrices for project development, design, and construction.
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data mining engineering jobs Title: data analyst reporting
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