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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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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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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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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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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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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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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. Optimize the performance of big data processing tasks and analytics jobs.
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In-depth knowledge of the Databricks Unified Analytics Platform and its features for collaborative big data analytics. Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows.
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big data mining jobs Title: workforce planning
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