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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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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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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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Utilize programming languages like Scala, Python and Open-Source RDBMS and NoSQL databases and Cloud based data warehousing services such as ADLS/Cosmos etc. Data Engineering experience focused on batch and real-time data pipelines development, Data processing/data transformation using ETL tools such as databricks.
$76,000 - $236,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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Develop and maintain processes for extracting, cleaning, and organizing data for analysis including implementing a moderate amount of code (Python, R, SQL, some limited JavaScript) to enable completion of repetitive and complicated tasks and handle large amounts of data.
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Proficiency in SQL, SAS, R, Python or Spark. This role resides within the Forecast Modeling team that supports risk modeling for Finance, Treasury, and Operational Risk. Models are used for various purposes such as CCAR, CECL, Capital, Asset/Liability Management, Loss Forecasting, and financial planning.
$207,900 - $431,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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NGEN-R SMIT is the largest IT services program for the Navy, by delivering the OCONUS Enterprise Network (ONE-Net); inclusive of cybersecurity services, network operations, service desk, and data transport.
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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. Big Data Technologies: Proficient with big data technologies such as Databricks, Hadoop, Spark, and Kafka.
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The Defense Group of Leidos has an exciting opportunity for a Senior Systems Administrator to support efforts for the OCONUS Enterprise Network (ONE-Net) portion of the NGEN-R Service Management, Integration, and Transport (SMIT) contract located in Guam.
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Programming languages may include—but are not limited to—Python, R, SQL, Java, SAS, and MATLAB. As a Data Scientist on the Collateral Modeling and Analytics team at Freddie Mac, you will join a group of professionals who use data science to solve important business problems.
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Advanced excel skills and knowledge of visualization tools and statistical programs such as Power BI, tableau, R, Python. Lead the maturity of workforce planning in IFC to be a more strategic, skills-based, and data-driven approach and aligned with IFC’s business strategy, collaborating with key stakeholders in IFC.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. The environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others.
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Proficiency in the use of analytical, statistical and econometric software packages such as STATA, Eviews, R, TSP, SPSS, Matlab and SAS.Preferred:Experience working with finance, budget, people analytics, macroeconomic data and writing macroeconomic research reports.
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python r data jobs Title: data scientist Company: Inc in Arlington, VA
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