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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Cutting-Edge Machine Vision*: We're in the business of AI and data science.
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Create cyber threat intelligence conclusions by using data science and analysis (e.g. outlier detection, gap analysis, normalization, machine learning, automated models, natural language processing, etc.
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Design, build, and deploy data engineering pipelines that extracts, transforms raw data into analytics base tables to support downstream machine learning models using languages such as Python, R and SQL.
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Ability to comprehend advanced statistics in data science for measuring and evaluating machine learning models. As a data strategist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
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ENSCO's Rail Division stands out on the global stage as a leader in railway infrastructure inspection technology. As an Engineering Project Delivery Manager, you'll have the opportunity to grow and advance within ENSCO, making a significant impact on our cutting-edge projects.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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CACI is seeking a Data Scientist to work in support of US Coast Guard’s Ship Design Team/Engineering Directorate at Headquarters in Washington DC. Position is in support of new and ongoing shipbuilding programs across a wide range of Cutters and Small Boats.
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As a Staff Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. We are looking for Staff Machine Learning Engineers of all skill levels or experienced engineers from other disciplines who may be looking to make the move to a big data environment.
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As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data science techniques such as predictive analytics, machine learning, natural language processing and business intelligence, including use of big and non-tabular data. services in 1) data analytics and use, and 2) digital health, on an as needed.
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2+ years of hands-on experience implementing Collibra data catalog, data governance, data lineage, data privacy, and data quality capabilities. Ability to work with diverse stakeholder groups to get buy-in on, develop, and implement Collibra and data management standards, policies, and best practices.
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Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning. Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, geospatial analytics, machine learning, and artificial intelligence.
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The ISD will support the development and delivery of all client training courses, use multiple visualization and design techniques to development curriculum, and create web-based training and in-person learning in support of a prime contract for the IC environment.
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hands on machine learning data engineering in person jobs in Falls Church, VA
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