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Monitor mining pool data and communicate significant changes. As a CleanSpark team member, you'll be at the forefront of the global bitcoin revolution, shaping the future of responsible mining.
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With strong project portfolioMinimum 5 years of industry experience (2 years with PhD and 3 years with MS) in quantitative modeling of credit riskStrong quantitative/statistical skills in the field of predictive analytics with broad knowledge of regression analysis, time series analysis, Monte Carlo simulations, artificial intelligence, and data mining algorithmsExperience with modeling financial products and/or securitization, preferably mortgage-backed securities.
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Originally focused on the underground coal mining industry, Matrix has expanded into new industrial markets in the United States and globally. Occasional travel to end-use locations, in an underground mining environment, supporting initial product installations and testing or troubleshooting abnormal or unusual issues observed in the field.
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Excellent understanding of data mining, predictive modeling, and data visualization. Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP.
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Knowledge of: The principles and practices of physical and historical geology; Engineering geology; geological formations associated with seismic hazards; geology as applied to civil engineering; the causes and prevention of land slippage and foundation failures; geological concepts as they pertain to planning and surface mining; survey, mapping, drafting, and photographic techniques as the apply to engineering geology.
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Python, data engineering and analysis, identification and tagging of data, AI/ML, database queries, synthesis of large datasets, data mining, statistical analysis, big data, automation, DataBricks, AWS, algorithm development, MS Excel (high proficiency in pivot tables.
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Work with a team with respect to discovery, design and delivery of data models, data governance models, data migration plans, data warehouse design and reporting components of applications using GCP, Databricks and Microsoft tools.
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Possess a minimum of 12 years of data mining and modeling experienceProficient in one or more of the following software platforms: Python, IBM SPSS Modeler, Natural Language Processing, Large Language Models, Generative AI Applications, and/or User Activity Monitoring applicationsAdvising stakeholders on advanced data mining and technical matters, research, and applications.
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Bachelor's Degree or higher in one of the following fields: computer science, mathematics, physics, statistics, or another computational field with a strong background of using machine learning/data mining for predictive modeling or time series analysis.
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Performs analyses, development, and evaluation of data mining in the Snowflake cloud data warehouse environment which includes data design, database architecture, and data management utilizing Informatica PowerCenter, Intelligent Data Quality, and Enterprise Data Catalog.
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Mohawk is looking for a Sustainability Data Analyst who can do more with Mohawk. Lead project-based work that could include but is not limited to projects specific to gathering and validating data for regulatory reporting (EU CSRD, EU Taxonomy, California Climate Rules), voluntary frameworks (GRI, TCFD, SASB), surveys (CDP Climate, CDP Water, CSA), and any additional needed data for the annual ESG report in the global ESG data platform.
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Bachelors or Masters degree in a field relevant to data science, data analytics, and/or data visualization. Data Scientist (Senior) NGA - Washington. Please rate your experience with the following from 1-5: ETL processing, storing, or manipulating data on the Azure, GCP, or AWS platforms (1 being unfamiliar and 5 being an expert-level of experience.
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Surface and Underground mining industry experience. Coeur Mining, Inc. is a well-diversified growing precious metals producer with five operations in North America. It is the policy of Coeur Mining, Inc. and its direct and indirect United States subsidiaries (the“Company”) to provide equal opportunity employment to all Employees and applicants foremployment.
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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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2+ years of experience with Azure Data Factory, Azure Data Lake Gen2, Azure Databricks, Blob Storage, Azure SQL Database, Azure App Service, and Azure functions. 2+ years of experience with Big Data Technologies such as: Hadoop, Sqoop, Hive, Kafka, Spark, Pyspark, Python, Scala, or Pig.
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data mining jobs Title: data analyst Company: Aspca
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