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Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, A WS Sagemaker, A WS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
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Will maintain, move, and manipulate data between applications, using appropriate software/code: Apache Spark, ElasticSearch, R, Python, Kibana and others as technology evolves. Experience utilizing computer programs, software, or a variety of coding languages (i.e., Python, MySQL, D3, SPSS, SAS, Visual Basic, R, etc.
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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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Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADEMIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, A WS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modeling, TensorFlow, Linear Algebra, R, SAS, NLP.
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Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks. Databricks: Experience with Databricks for data processing and analytics, including building and managing data pipelines in Databricks environments.
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Basic coding knowledge and experience in several languages for example: R, Python/ Jupyter, SAS, Java, Scala, C. 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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4+ years of experience using SAS (including macro processing and Proc SQL), R, Python, or SQL in a research, consulting, or business environment. will provide support on a number of payment model implementation contracts requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.
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Experience with Docker, R, Python, Git, and/or Java. Experience building data science tools in Python using popular libraries like numpy, scipy, pandas, Anaconda environments, etc.
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Strong programming skills in Python, R, SQL, and React. Utilize programming languages such as Python, R, and SQL to develop and deploy NLP and AI models. As a Data Analytics Engineer, you will be responsible for designing, developing, and implementing natural language processing (NLP) and AI-based solutions to enhance our products and services.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Develop scripts using Python, Java or Scala to extract data from published vendor APIs to be consumed from upstream processes. Understand data lakehouse technologies like Iceberg, Databricks, Redshift Spectrum, Athena and Snowflake.
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Proficiency in tools like JMeter, Jenkins, Docker, Postman, Swagger, Nexus, Apigee, GitHub/GitLab, Java, Bash, Curl, XML, JSON, SQL, Python, Javascript, or AWS/C2S. Experienced Test Systems Engineers are key players in Application, System, and Integration Testing across NSG, ASG, and Federal Agencies, ensuring precision in GEOINT. This role centers on offering technical advisory support, embracing innovative AI R&D methods for Test and Evaluation (T&E) Automation and Verification of AI models.
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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques and NGA digital data formats. Provide support towards the HRVD and MGCP data processing needs of NGA. These needs will include generation of data and metadata compliant to the MGCP Technical Reference Documentation (TRD.
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Extracting features from a variety of sources including but not necessarily limited to rasterized nautical charts, digital hydrographic survey data and ortho-rectified imagery. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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Must have experience using various Geospatial tools such as Arc GIS, Excel, SPSS, SAS, MatLab, R, or other statistical packages, to analyze and visualize operational data; visualize data both temporally and spatially to assist in data integrity checks, prepare analysis, develop next level queries, prepare presentations materials, and display analytical assessments for senior leadership.
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python r data processing jobs Title: data scientist sr Company: Inc in Springfield, VA
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