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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.
$184,000 - $248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Conduct extensive collections and analytic modeling, data processing, data mining, and visualization. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. 3+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.
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Position Overview QineitQ is looking for a results-driven Data Scientist to support NSG strategies through the creation of automated collection, models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.
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Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. The ideal candidate will have extensive experience in designing and implementing data solutions, with proficiency in SQL Server, Microsoft Azure, Snowflake, Databricks, and other relevant technologies.
$200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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10 or more years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering.
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Proficiency in Microsoft Excel and Microsoft PowerPoint, experience in data mining, and the ability to learn other software. Freddie Mac’s Finance division is currently seeking a Financial Planning & Analysis Professional Analyst to be part of the Multifamily CFO department.
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Conduct complex statistical, mathematical, geospatial modeling, and data mining analysis independently or in partnership with other Data Scientist or Analyst colleagues. Coordinate accurate, timely, and sophisticated data analysis in support of the most complex key ODNI, United States national security and foreign policy objectives and to shape Intelligence Community analysis priorities.
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Work with large data sets to better understand the changing worldwide geopolitical and tactical level military landscape through the creation of automated collection models, dynamic analytic models, workflow automation, and any other automation processes and products as assigned.
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Responsibilities: As the PIM Software development analyst, you will work closely with the Project Information Manager and undertake necessary development efforts to ensure the project’s information management system and Common Data Environment (CDE) is delivering on the project objectives.
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Identify business problems and solve them by using various numerical techniques, algorithms, and models in Statistical Modeling, Machine Learning, Operations Research, and Data Mining. 7-10 years of experience with: Data Management, Enterprise Data Management (EDM), Data Science, Data Strategy, Data Governance, Data Quality, Data Cleaning, Data Validation; apply and demonstrate proficiency in Extract, Transform, and Load (ETL) Processing, Data Collection, and Requirement Gathering.
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The Global Logistics Senior Business Analyst will be responsible for analyzing Transportation, Logistics, and Trade Compliance data to identify trends, patterns, and insights that will inform business decisions.
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Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
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data mining jobs Title: analyst Company: Abbott in Vienna, VA
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