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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics.
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Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP. Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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Support PacifiCorp's regulatory process by responding to data requests regarding fueling issues and specifically regarding the company's affiliate coal mines. Oversee Fuel Resources' support of Net Power Cost (NPC) testimony and data requests.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices. Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices.
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Agility to collaborate and influence peers and business partners as organization matures across Enterprise Marketing Data & Analytics (e.g., marketing and ad tech. 4 years of experience in managing, and mentoring data science, data engineering, and/or analytics teams in the financial services industry.
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4 years of experience in managing, and mentoring data science, data engineering, and/or analytics teams in a highly regulated environment. 10 years of experience working in data and analytics, including data governance and data innovation across an organization developing strategies, managing major initiatives, and delivering.
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Comprehensive knowledge of data integrity/privacy practices and applicable risk and compliance management framework. Comprehensive knowledge of data integrity/privacy practices and applicable risk and compliance management frameworks.
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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Actively leading the technology domain that includes data architecture, data engineering (inclusive of big data supporting data science), data integration, data operations, and business strategy that advances ideas into transformational new capabilities.
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USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. Strengthens data stewardship, actively manage information risk, and participate in division and enterprise data and analytics leadership forums to further information governance and mitigate information and business risks.
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Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management. Facilitate the establishment and execution of the roadmap and vision for information delivery and management, including the enterprise data warehouse, big data, BI & analytics, content management and data management.
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Proficiency in data analysis and interpretation, using software tools such as Excel, Minitab, or specialized metallurgical software. The Corporate Metallurgist plays an advisory role in ensuring the efficiency, sustainability, and safety of metallurgical operations across mining sites, contributing to the overall success of the company's mineral extraction and processing activities.
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In-depth knowledge of the Databricks Unified Analytics Platform and its features for collaborative big data analytics. We take pride in making Feuji a great place to work at Job Title: Sr Data Engineer Location: Seattle, Washington Type: 6 Months Contract to Start Job Description: This position contributes to Client success by building enterprise data services for analytic solutions.
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Our Montreal office is seeking a Junior Underground Mining Engineer. Underground Mining engineering site experience. Good understanding of underground mining methods, geology, survey, ventilation, rock engineering.
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big data mining jobs Title: senior software engineer
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