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Preferably, relevant certifications in data architecture and related technologies (CDMP, TOGAF, GCP Professional Cloud Architect, AWS Certified Solutions Architect, Azure Solutions Architect, Snowflake SnowPro Core Certification, etc.
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Proficient in advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID.
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We provide self service tools to enable data discovery, data processing, data mining and research, reporting, and machine learning/AI, all built using OCI services and industry standard open source distributed computing tools.
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Strong experience with report development and reporting/analytical tools (SSRS, SSAS, Power BI or Tableau experience a plus), and relational databases (Oracle, Azure database); understanding of database development, data mining and analysis.
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Your responsibilities will include: - Developing data visualization solutions using tools like Tableau, Power BI, and/or Qlik - Cleaning and reviewing data scripts using Python and other tools - Creating additional data visualization capabilities as needed - Ensuring data quality standards are met - Developing training materials - Analyzing current processes and suggesting improvements - Organizing and leading client meetings - Summarizing and presenting information and reports to the team.
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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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Exposure to data analytics and data mining tools/applications such as Tableau, QlikSense /QlikView, R or SAS. Data Engineers will be deployed to these cities: Austin, TX; Dallas, TX; Bentonville, AR; Charlotte, NC; Cincinnati, OH; Columbus, OH; Hartford, CT; Juno Beach, FL; Mountain View, CA; Basking Ridge, NJ; Mt Laurel, NJ; New York, NY; Oakland, CA; Owing Mills, MD; Pleasanton, TX; Portland, OR; Richmond, VA; St. Louis, MO; Santa Clara, CA; Seattle, WA where you will work alongside other experienced Cognizant associates delivering technology solutions.
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Our Impact: The Corporate Data Warehouse (CDW) is a corporate data repository that makes accessible historical and current business relevant data from disparate data sources residing within Freddie Mac's transaction processing and end-user systems into one relational database for decision support, management reporting, ad-hoc and trend analysis, modeling, and data mining purposes.
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Advanced experience in cloud data processing products, including but not limited to Airflow, Snowflake, etc. Advanced experience in writing codes in Java/Python, either on general programming ability or data processing ability with several data formats (CSV/TSV/JSON/XML.
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M&A is currently seeking a full-time hydrogeologist with groundwater modeling experience to support our mining clients in the western United States. Graduate degree in hydrology, geology, or a related field of study; course work in hydrogeologic data analysis, groundwater modeling, and computer programming preferred.
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Mineral Park is an open-pit copper/molybdenum mine located near Kingman, Arizona, a Tier-1 mining jurisdiction. The mine uses conventional open-pit mining methods and processes ore by heap leach followed by SX/EW. Mineral Park is currently in a construction phase to restart milling and concentrating operations.
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The successful candidate will be responsible for contributing to geochemistry water quality and hydrogeology field programs, data analysis, geochemical modeling, technical reporting and other activities for a variety of projects, with a focus on mining.
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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. The HR Generalist will play a key role in supporting our bitcoin mining operations and providing HR services to employees and management.
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Experience working with cloud-based data platforms, such as Databricks (preferred), BigQuery, Redshift, etc. In this role, you will design and implement the key payment data models for various analytics, ML/AI solutions, and data-centric product features, which includes building batch/stream ETL pipelines for payment golden datasets, creating unified data monitoring and alerting system for operation excellence, and setting up the standard for payment data governance.
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Experience in industries such as Water/Wastewater Treatment, Life Sciences, Building Automation, Food and Beverage, Oil & Gas, and Mining. Familiarity with HMI/SCADA hardware/software platforms such as Wonderware, GE iFIX, Rockwell Automation FactoryTalk View, Schneider, and Siemens.
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data mining jobs Title: analyst Company: Aspca
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