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Programming:Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala. Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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You have passion and expertise in one or more of the following areas: risk analytics, data analytics, machine learning, SQL, Python, cloud security, network security, vulnerability management, data protection, threat intelligence & investigations, and identity & access management.
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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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Experience with machine learning architecture and neural network design and implementation, utilizing tools such as Tensorflow and/or Pytorch. Utilize machine learning (ML) algorithms in order to tackle challenging IRCM & MWR problems.
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Keywords: Sr Capture Manager, Business development, Program Manager, Leadership, Machine Learning, win, capture, proposals, Virginia IC, Intel Community, Intelligence Community, growth, cyber, developer, development, architecture, framework, Java Developer, Java Development, Software engineer, HPC, high performance computing, software tester, system integration engineer, systems engineer.
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Develop novel and advanced signal processing/machine learning algorithms, performance simulation, and analysis - using simulated and real data in both time series and spectral domains.
$65,000 - $117,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ML Research Scientist will also have a hands-on roll and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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Experience with quantitative and qualitative data analysis using statistical and transcript software such as Stata, R or Python, and MaxQDA, NVivo or Atlas. MSI’s Education Practice Area provides monitoring, evaluation, research, learning and training support to development partners and international education projects worldwide.
$85,000 - $93,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Employer will accept a Master's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, Information Systems or a related field plus 3 years of experience working in data science, analytics, and/or software development.
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Knowledge, skills, and relevant experience in one or more of the following is required: - Designing and implementing machine learning - Data mining - Advanced analytical algorithms - Programming - Data science - Advanced statistical analysis - Artificial Intelligence - Computational science - Software engineering - Data engineering.
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Databases; and programming in one or more of the following: Python, R, Spark, Matlab, Stata, C, Perl, or Java; AND. databases; and programming in Python with experience in one of the following: R, Spark, Matlab, Stata, C, Perl, or Java; AND.
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Electrical, electronic engineering, information technology, machine learning, programming, python, software engineer. As an Electrical Engineer, you will apply engineering knowledge in the design of facilities electrical systems including lighting, power, life safety, security, communication systems, and schedules under minimal supervision and will be responsible for recognizing project scope, specifications, and design criteria upon assignment to a project task team.
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Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities. Familiarity with data analytics and scientific computing platforms such as Databricks, Dash, Plotly, Spotfire and related programming languages like SQL, python.
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Experience in data access tools, such as SAS, SQL, Python, and R. Knowledge of CMS claims data, including Medicare, Medicaid, and Marketplace, in the IDR or CCW environment with Fee-for-Service ( FFS ) , Medicare Advantage encounter data, Medicaid data in the Transformed Medicaid Statistical Information System ( T-MSIS ) , or Prescription Drug Event ( PDE ) data.
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machine learning python r jobs Title: data engineer in Washington, DC
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