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We're seeking data scientists who have domain knowledge or an interest in Big Data, machine learning, natural language processing, image processing and an interest to apply it to economic and financial applications.
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The purpose of this effort is to advance the state of the art in Big Data, data analysis, Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics to enhance the DoD’s and the IC’s information processes and technical architectures.
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The Machine Learning Engineer III will be a member of the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and develop a variety of innovative computer vision (detection, classification, localization, and tracking) and other analytics solutions for defense and commercial applications.
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Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry.
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Experience working with Python, R, SQL, and Spark for Big Data Analytics. This role oversees enterprise anchor business intelligence (BI) and machine learning (ML) platforms and will manage a team to deliver BI and analytics services.
$147,200 - $229,925 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Proficient in program management, systems engineering, and an in-depth knowledge of one or more of the following: (1) Long range fires; (2) Data science, artificial intelligence, deep learning systems, Autonomous systems; (3) Long range weapon kill chains; (4) Communications, networking, inter-networking in communications denied environments; (5) Cyber.
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Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
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Integrate empirical methods, hand calculations, vortex lattice codes, CFD, wind tunnel, and flight test data to analyze aerodynamic performance and stability & control Own the development of the vehicle cockpit simulator software and hardware.
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Preferred QualificationsYou will wow us even more if you have these skills:- Proven experience with data science/advanced data analytic techniques, such as using python, R, or other scripting languages- Proven experience with statistical data mining techniquesThe ideal candidate has a demonstrated aptitude for problem solving complex technical issues and thinking outside the box.
$87,100 - $157,450 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Skilled in artificial intelligence and machine learning (e.g., SageMaker) Experience with Machine Learning or Artificial Intelligence. Experience with data transformation (structured data format/schema transformation) using common programming tools (e.g., Python, JSON, etc.
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Knowledge of AI or machine learning techniques is desirable. CGI Federal is hiring a Sr. Data Scientist to work with a skilled and motivated team of professionals on a high-visibility Department of Homeland Security (DHS) Cybersecurity and Infrastructure Security Agency (CISA) cyber security program.
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Create data science and data engineering products that include data models, data ingestion/transform, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g., file output, database output, standard/streaming output) or a user interface or dashboard.
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Responsibilities will include working with TP-A/G/MDA Lead and associated subject matter experts to develop, implement, and improve TP-A/G/MDA capabilities and to support TP-A/G/MDA integration with the US Air Force (USAF) and US Navy (USN.
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