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Ability to utilize NLP, machine learning, and semantic text mining to translate data into machine-understandable representations. Role: Senior data consultant - graph & semantics Location: McLean, VA Onsite/hybrid Mode Position Exp: 3 - 8 years Role Description: Financial services organizations face significant challenges and opportunities in managing and leveraging data, including their own and new big data sets.
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Apply a variety of analytical techniques to tackle Sponsor challenges to include data mining, statistical models, predictive analytics, optimization, risk analysis, and data visualization.
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PREFERRED QUALIFICATIONS- Experience in working directly with business stakeholders to translate between data and business needs- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
$104,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Conduct extensive collections and analytic modeling, data processing, data mining, and visualization. Apply data science and visual programming trade-craft to support and streamline analysis tasks as identified by key stakeholders and the government.
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Our client is a recognized leader in predictive analytics and data mining - they pride themselves on their ability to find creative, cutting edge solutions to real-word problems. They support the highest priority cases and are on the winning team of a 5-year contract that will deliver data science solutions to address the toughest national security challenges.
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As a CBRE Business Intelligence Sr. Analyst, you will be responsible for conducting advanced research, data mining, This job is part of the Data Science & Analytics job function.
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Cloud Platforms, specifically AWS ecosystem, Data Engineering & Data Science Tools. Experience with Cloud Platforms, specifically AWS ecosystem, Data Engineering & Data Science Tools.
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Qualifying coursework may include—but is not limited to—data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.
$118,000 - $178,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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Familiarity with the principles and practices of data mining and data warehousing. Expertise in data manipulation and analysis using programming languages such as Python, R, Java, and experience in PHP, JavaScript, bash, HTML/CSS, jQuery, and REST APIs.
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In addition to the geology course work included in the degree, it must also have included or been supplemented by 20 additional semester hours in any combination of mathematics, physics, chemistry, biological science, structural, chemical, civil, mining or petroleum engineering, computer science, planetary geology, comparative planetology, geophysics, meteorology, hydrology, oceanography, physical geography, marine geology, and cartography.
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Strong knowledge of distributed computing, data structures, data mapping, data warehouse, data mining, business analytics, software development, replication, and distributed/relational databases.
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Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science), or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience.
$81,100 - $179,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Background in data science, machine learning, data mining, and/or statistics. Experience with data visualization software (e.g., Tableau, Microsoft Power BI) Quality Assurance Testing: Test applications, databases, and reports to ensure data accuracy and proper function.
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data science mining jobs in Mclean, VA
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