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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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Must demonstrate knowledge and understanding of rock and sand mining, ready-mix concrete, and/or asphalt operations and equipment, MSHA regulations, engineering principles and procedures, and quality control systems and processes.
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The Data Engineer will apply data mining techniques perform statistical analysis and build high-quality prediction models. Strong grasp of distributed data processing tools such as Apache Spark, Kafka, as well as AWS Cloud Native Services.
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West Virginia has a rich history of coal mining and we are proud to have a dedicated team that is committed to providing comprehensive legal services to clients in the mining industry, ensuring compliance and advocating for their interests.
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Experience in statistical detection of potential healthcare fraud and abuse, using tools, such as predictive modeling, development of mathematical models, neural networks, healthcare data analytics, and data mining.
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Experience with data mining, data processing and statistical data analysis. The ideal candidate will have a strong background in both microbial fermentation and mammalian cell culture, preferably with Antibody Drug Conjugate (ADC) experience.
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This individual will be adept at synthesizing meaningful and actionable information out of vast amounts of data, leveraging data mining and analytics tools including Power BI, SAP Analytics Cloud, Tableau, SAS, and other similar data analytics tools.
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Rancho BioSciences is an international company offering data curation, data governance and models, bioinformatics analysis, workflows and pipelines, knowledge mining, target profiles, building databases with content, business analyst services to clients in pharmaceutical and biotech companies, foundations, government, and hospitals.
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The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems. At least four years of experience developing scalable, production-ready NLP solutions using sci-kit learn, Keras, TensorFlow, PyTorch, Spark NLP.
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Data Science, Decision Analytics, Data Mining, Information Sciences, Information Technology, Quantitative Analysis, Operations Research, Operations Analytics, MBAs with Analytical Focus, Engineering, Computer Science, Statistics, Data Management, Decision Science, Quantitative Science, Mathematics, Information Systems, Industrial Engineering, Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing.
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Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) + Helping our clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models and advising our clients on data mining leading practices.
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Assist in all brand strategy efforts, including defining positioning and mining consumer insights. Work experience in the following industries is an asset but not required: Communications, Business administration, Management, Advertising, Marketing, Public Relations, Political Science, Sales, Sales Management, Psychology, Sports Management, and related fields.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Spring boot, Microservices, Docker, Jenkins and REST API's experience.
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Extracting and aggregating data from large data sets using SQL/Hive or Spark;Analyzing large data sets using Python, R, SQL and/or Spark;Generating and visualizing data-based insights in Tableau or Power BIMicrosoft Office software such as Word, Excel, PowerPoint and Teams;Jupyter notebooks, Python, or SAS;Data mining and statistical modelingAdditional InformationWorksite: Washington, DCThis is a hybrid position.
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The primary technical focus for this role will be on Pact’s sustainable markets impact area which includes livelihoods, environment and clean energy, and responsible mining practice areas, but may at times also support other programming such as global health, governance and capacity development.
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mining job in Washington, DC
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