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To join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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Coeur Mining, Inc. is a U.S.-based, well-diversified, growing precious metals producer with four wholly-owned operations: the Palmarejo silver-gold complex in Mexico, the Rochester silver-gold mine in Nevada, the Kensington gold mine in Alaska, and the Wharf gold mine in South Dakota.
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Prepare timber sale and forest management project documentation to include, writing project descriptions, building GIS project maps, compiling timber cruise data, determining logging and road construction costs, timber sale appraisal, preparing contract terms, developing hazard management plan.
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Proficient interviewing techniques; the ability to coordinate the gathering, reporting, and dissemination of information to leadership and key stakeholders; data analysis skills (including ACL, SQL, Advanced Excel, Access, or other data-mining tools.
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Understanding of ML, NLP, including entity extraction, data mining, sentiment analysis, content summarization and other data science techniques desirable. Our newest projects use Java Spring boot, Angular, and Postgres DB. We also have teams that support large scale data delivery using Scala, Hive and AWS EMR. Our primary stakeholders are the application product managers and the content operations managers.
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The primary focus for this role will be electrical design for bitcoin mining systems, including schematic capture, working with our PCB designers, board-level bringup/validation, and supporting manufacturing of the product.
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Reliability Statistics, Reliability Verification, Semiconductor Device Physics, Semiconductor Equipment and Fabrication, Statistical Process Control, Statistics and Data Analytics, Data Mining, Defect Density Analysis, Defect Metrology, Design of Experiments (DOE) Principles, Design Validation, Fabrication Process, Failure Analysis, Failure Modes, Fault Isolation, Probability and Statistics, Quality and Reliability, Reliability Fundamentals Reliability Modeling and Measurement.
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Minimum of 3 years experience data mining and conducting detailed analysis within the Military Health System (MHS) Data Warehouses and software, i.e., M2, Business Objects, CHCS Cache, SQL, MDR, SAS, HL7, ETL and HealtheAnalytics.
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6 to 20 years of engineering, design, and construction experience in heavy industry, particularly surface and/or underground mining. We are a leader in underground hard rock mining engineering and related technology, serving the largest, deepest, and most technically challenging mines in the world.
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You are an experienced Dozer Operator who takes pride in the safe and efficient operation of production mining equipment in an open pit operation. Minimum one-year experience of dozer operation in a surface mining environment.
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Perform electrical, mechanical and hydraulic repairs of underground mining equipment. Must be knowledgeable of State and Federal mining regulations pertaining to underground mining including electrical permissibility.
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Ledcor Mining services reach across the lifespan of a mine, from facility construction, to full-scale contract mining of coal, minerals, or metals, all the way to mine reclamation. Knowledge of safe & productive operation of heavy mining equipment.
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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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Advanced knowledge in SQL, Python, Scala, or similar, with proven ability to implement efficient data processing and analytics solutions in Databricks. We are seeking a highly skilled and experienced Senior Data Architect specializing in Databricks technology to lead our efforts in configuring and deploying advanced data processing solutions.
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Support Operational process improvements through data mining and quantitative analysis, suggesting actionable changes based on same. The Supply Chain Analyst will gather data and conducts analysis with the goal of improving the organization's supply chain operations as well as supporting various initiatives and growth of reporting and visibility tools.
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data mining jobs Title: data analyst Company: Booz Allen Hamilton
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The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
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