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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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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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Expertise in visualizing data, including experience with Excel, Tableau, R Shiny or similar to identify, summarize and explain observed data patterns. Technical ability with statistical software packages including coding, debugging, modeling and economic analysis with relevant programming languages (Python, R, SAS, SQL, etc.
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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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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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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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You will gather requirements, design, and write components of our backend cloud computing stack, leveraging Python, Postgres (SQL), Go, and Docker on AWS infrastructure (S3, EC2, Batch, Lambda, RDS.
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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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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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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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Knowledge of Statistics, Gen AI, LLM, 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, and Machine Learning engineers for full-time positions with clients.
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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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Big data concepts and technologies, such as: Apache Hadoop, Apache Hive, Solr, Cloudera, MapReduce, R, Spark, Kafka, NiFi, and the ELK (ElasticSearch, Logstash, Kibana) stack. Programming languages, and related web technologies, such as: Java, Javascript, Python, C#, C.
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Become familiar with common data collection, cleaning, analysis, and visualization technologies including, but not limited to, Python, R, SQL, Cypher, Power BI, Tableau, etc.) Understand and apply concepts associated with data modeling, machine learning, and artificial intelligence (AI) and their application in client workflows.
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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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python r data jobs Title: data scientist Company: Inc in Mclean, VA
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