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High level of proficiency in Python, DataBricks, SQL, Spark, and other Data Engineering and Data Science tools. Minimum of 3 years of experience as a military Data Subject Matter Expert or related role, with demonstrated experience with digital strategy, IT project management, enterprise architecture, SDLC (Software Development Life Cycle), or transformation.
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Experience with modern programming languages and frameworks including Python (FastAPI, Django, Flask), JavaScript (Node.js, Express, Vue, Svelte, React), and Java (Spring Boot) Dark Wolf Solutions is looking for a Mid-level Data Engineer to work near a Dark Wolf office in Herndon, VA with hybrid flexibility and presence at our site location in Fall Church, VA. Tasks will include working within an Agile DevSecOps team environment using latest cloud-native technologies to architect and implement containerized applications, CI/CD pipelines, and Kubernetes platforms using best practices and leading technologies.
$155,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Writing re-usable code in R, Python, Java, Scala, SQL, or other languages, and working to refine it through code review and discussion. Domain expertise: insider threat, intelligence data sources (HUMINT, SIGINT, IMINT, and OSINT.
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Location:Tysons, VA (Hybrid) with some remote work·Work Authorization:EAD, Green Card or ·Work Type:Full Time Responsibilities include, but are not limited to: Gathering and cleaning HR data from various sources, such as HRIS, ATS, surveys, and external benchmarksPerforming descriptive, inferential, and predictive analysis using statistical methods and tools, such as Excel, SQL, R, Python, Power BI, Tableau, etc.
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Experience in programming (e.g., JavaScript, Python) and/or working with surveillance platforms (e.g. DHIS2), data collection tools (e.g. ODK, SurveyCTO) and/or data visualization applications (e.g. Tableau, PowerBI.
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Experience working with tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn.
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Direct working experience in using business intelligence and analytics tools such as Power BI, Tableau, Python, R, or similar software, plus warehouse management and order processing systems.
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Proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access; Demonstrating proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access.
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Proficiency in at least one of the following: R, Python, Julia, Matlab, or other programming language. Apply statistical/machine learning approaches to analyze large-scale molecular data (transcriptomics, proteomics, etc.
Part-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Experience with languages or tools, including SQL, R, Python, or Microsoft Power BI. 2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL.
$172,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Program, build models and/or perform regression analyses in statistical analysis programs (such as Stata, SAS, Python, R, Matlab or Mathematica.
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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for full time positions with clients.
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Prior experience with Macro/VBA, R, Python, Intex, Moody’s Analytics, and other industry software, preferred. Prior experience with Macro/VBA, R, Python, Intex, Moody’s Analytics, and other industry software, preferred.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Leverage a broad set of modern technologies – including Python, R, and Spark – to analyze and gain insights within large data sets. Advanced skill in Python and R. 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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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.
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python r data jobs Company: Cardinal Health in Mclean, VA
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