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Emphasis on data technologies, including Excel, Tableau, SQL, Adobe, FlyWheel, or similar data visualization, mining, and segmentation tools. The ideal candidate will blend knowledge of consumer segmentation, data mining, and the digital media ecosystem to define, create, deploy, and manage segments across a variety of internal and external marketing partners.
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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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Advanced analytical skills – Experience with data analysis and/or data mining, knowledge of SAS, SQL, MicroStrategy, Big Data or other analytics tools like R, Python, Tableau, Power BI.
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Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, statistics, operations research, econometrics, and/or information retrieval (image processing (OpenCV) and natural language processing is a plus.
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Assists in determining long-range planning designs and data to determine proof of financial justification. Mining Engineer: As a member of the mining services team, this position will be responsible for monitoring aggregate mining, and planning, including surveying, phasing, project design for levees and haul roads, developing extraction methods, and assisting in labor/equipment planning.
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You will lead a team of researchers creating data-driven algorithms for ATG. The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
$199,300 - $247,500Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Strong interest in: information retrieval, data mining and machine learning, data modeling and mining, statistics, information theory, text-mining, data analysis, data manipulation / transformation, data cleaning, data mining, and other techniques.
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Performing data analysis using data mining and visualization techniques (Alteryx, Tableau, SAS, SQL, R, Python). Assess the adequacy of testing related to common IT Controls, including but not limited to access, change management, SoD, Incident Response, Data Security / Encryption, Network Security, Vulnerabilities / Patch Management, & IT Governance.
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Directs the day-to-day activities to ensure objectives are met: manages, through subordinate personnel, the various operations associated with mining, processing, stockpiling, loading, and shipping of quality aggregates.
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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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The Plant Superintendent oversees and coordinates the operations within the underground and surface mine site, ensuring a cohesive split-shift unit consisting of union personnel, mine engineer, and plant support staff, while being responsible for the safety, health, and environmental compliance of the site.
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Works with Opeeka development team and is responsible for developing and evolving SQL server databases to support data collection and data mining necessary for Opeekas P-CIS analytics and reporting.
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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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Working knowledge on Mine Safety and Health Administration electrical safety (MSHA) for US mining operations. Experience with underground mining power systems is an asset for potash sites.
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Study complex data related to donors, listeners, demographics, and psychographics, giving, pledging, website usage, streaming media, social media, contacts, and any other available data, using data mining, data modeling, machine learning and predictive analytics and other techniques, seeking out useful, actionable information, both positive and negative, reporting findings to management.
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data mining jobs Title: financial analyst Company: Cbre
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