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Market research and data mining. Must have Excel (moderate to advanced functions such as logic formulas, V- look up, pivot tables), Argus is a plus. A prominent national real estate investment and management firm is seeking an Acquisitions Associate with skills and savvy to be the driving force behind the firm’s ongoing multifamily residential portfolio expansion efforts.
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Significant experience of working with data models, database design development, data mining and segmentation techniques. At Intelligent Payload Solutions, we are at the forefront of technological innovation, revolutionizing data science, AI, and cybersecurity.
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Interested in data - Data Science, Data Analytics, Databases, large data sets, or data mining. Preferred majors include Computer Science, Computer Engineering, Software Engineering, Information Systems, Decision Sciences, Data Analytics/Data Science.
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The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. Work with one of the largest and most interesting Mining Companies in the World.
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The Finance Business Partner will provide financial analysis, planning and data mining support for Fleet Management Solutions (FMS). Consolidate, prepare, and analyze financial data to understand cause-and-effect relationships and identify drivers.
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Collaborate with leaders across the organization to continuously improve origination operations programs such as data mining, CRM design, and marketing initiatives. Experience originating within commercial real estate, mortgages, telecom, mineral rights acquisition, or renewables industries preferred.
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Assist with implementing cloud-based databasing methodology for data mining and analysis. Experience in using an oscilloscope to measure, analyze, and debug digital and analog signals at the PCBA and test board level.
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As one of America's most admired companies, AutoNation delivers a peerless Customer experience recognized by data-driven consumer insight leaders, Reputation and J.D. Power. The Associate will maximize utilization of the Equity Mining Tool (EMT), AutoNation's proprietary Equity Mining software, to increase incremental sales and customer retention, while achieving target unit goals and delighting every customer along the way.
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Perform technical analysis and data mining for EDI reporting requests from internal and external customers. Develop detailed source to target mapping from client data to our EDI specifications as well as data transformation documentation and explain the mapping to team members.
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Experience with theory and practice of information retrieval, data science, machine learning and data mining. You will work with the most complicated data environment, dive deep into ambiguous and complex issues, analyzing the data use traditional/advanced analytical approaches (e.g., statistical modeling, machine learning) to turn big data into actionable insights.
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Advanced knowledge of data mining techniques and statistical methods. Design and develop data mining models using techniques like clustering, regression analysis, and decision trees.
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Provide next-level intelligence by performing monthly data mining in critical areas such as manufacturing scrap, excess and obsolete inventory, PPV, MUV and other manufacturing variances.
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Overseeing surface and subsurface soil sampling, groundwater sampling, and other field data collection to support environmental and water supply projects. The preferred candidates will have experience developing cost estimates for feasibility studies and remedial designs, field experience working at Superfund, mining, and other contaminated sites, running complex field programs, preparing planning documents and preparing reports for environmental characterization and remediation projects.
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Data mining, data modeling and assessment, artificial. Degree in math, Applied Math, Stats, Applied Stats, Machine learning, Data Science, Ops Research or CS. machine learning, data science, advanced analytical.
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Advanced knowledge of different data mining techniques such as clustering, regression analysis, decision trees. Utilize SQL/Python/R to look at data sources and identify specific issues and what is constituting the problem.
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data mining jobs in Denver, CO
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