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Using advanced analytic techniques such as machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, and statistical and mathematical methods.
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Provides support to Komatsu’s mining automation and technology sales and product management efforts including simulation studies, market and competitive analyses, application feasibility input, economic analysis principles, and other related data collection and analysis.
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As a Geotechnical Analyst – Underground Mining, you will be responsible for managing and optimizing underground excavation stability within the company's operations. Bachelor’s degree in Geological, Geotechnical or an appropriate Engineering discipline and three (3) years of related experience in hard rock mining relating to rock mechanics and underground excavation stability, OR Master’s degree in an appropriate Engineering discipline and two (2) years of related experience in hard rock mining relating to rock mechanics and underground excavation stability.
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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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The Company has Bitcoin mining data center operations in central Texas and electrical switchgear engineering and fabrication operations in Denver, Colorado. Experience with Bitcoin and cryptocurrency mining and infrastructure preferred but not required.
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Expertise in Python, R, SQL, statistics, data mining. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Statistics, machine learning , data mining, data auditing, aggregation, reconciliation, and visualization. Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization.
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Perform statistical analysis and data mining to create predictive systems. Significant experience as a Data Scientist or advanced analytical role. If you have a passion for data science and want to apply your skills to impactful projects at scale, we want to hear from you.
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12+ years of experience working in the field of Data Engineering and Data Science. This role will be responsible for delivering automation to key national security missions interacting with petabyte-scale data on supercomputing resources.
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Experience in strategic planning, financial modeling, and operational efficiency in the context of mining operations. Lead innovative utilization and application of current technologies for maintenance management; keep abreast of the latest developments in bitcoin mining technology and best practices in hardware maintenance.
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Analytical skills are needed to create state-of-the-art products that incorporate prediction, data mining, pattern recognition, and balance satisfying user needs with innovative technical solutions and business potential according to Novo Nordisk corporate strategy.
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Utilizing analytics techniques (e.g. regression, correlation, cluster analysis, data quality, classification, data mining, machine learning, data visualization) to discover, confirm, & document associations, predictive models, & algorithms.
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Perform advanced statistical analyses, data mining, and predictive modeling to identify actionable insights and solutions. Proficient in web scraping, data extraction, data cleansing, and data visualization techniques.
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Experience in hard rock underground mining, preferably gold. Due to increased production, Northern Star (Pogo) LLC has a challenging and rewarding opportunity for a Mining Engineer at our world-class Pogo operation in Alaska on a rotational camp schedule.
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data mining jobs Title: financial analyst data
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Recruiting in a Recession: Hard Truths That Talent Acquisition Experts Must Accept
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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