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Position Overview QineitQ is looking for a results-driven Data Scientist to support NSG strategies through the creation of automated collection, models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.
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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. ALTA IT Services is seeking a Data Scientist to join our direct client on a long term contract basis.
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The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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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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Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using technologies such as Python, SAS, or R. Strong candidates will explain various methods you have applied using common pre-processing functions such as stop word removal, stemming, lemmatization, and tokenization.
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BluePath Labs is looking for a data scientist to join our multi-disciplinary team of developers and researchers in building cutting-edge data science (DS) and machine learning (ML) solutions supporting national security, research and development (R&D), energy, and other critical sectors.
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QineitQ is looking for a results-driven Data Scientist to support NSG strategies through the creation of automated collection, models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.
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We are looking for a results-driven Data Scientist to support NSG strategies through the creation of automated collection, models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.
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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. We are currently seeking a Data Scientist to work for our company.
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Programming Languages: Strong programming skills in Python, Scala, R & H2O. ●Data Visualization: Proficiency with data visualization tools such as Tableau, Power BI, or similar. Job Title: Senior Data Scientist Employment Type: Full-time Permanent W-2 Employee Work Type: Hybrid (2-3 days/week onsite in Crystal City, VA) Security Clearance: US Citizens, our client will sponsor security clearance Introduction: Our client, a leading provider of Artificial Intelligence Integration Services and innovative data platforms for government and defense clients, is recruiting a full-time Cyber Security Engineer.
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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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Maintain, move, and manipulate data between applications, using appropriate software/code: Apache Spark, ElasticSearch, R, Python, Kibana and others as technology evolves. Demonstrated experience working with commercial-off-the-shelf (COTS) statistical software or tools for data visualization (i.e., SPSS, SAS, MatLab, Tableau, etc.
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Bachelor's Degree with coursework in biostatistics or equivalent combination of experience and education Strong data analysis skills in SQL, Tableau, R, REDCap, and Microsoft Excel. Leverages appropriate analytic and visualization tools (SQL, R, Python, Tableau, others) to develop complex data cleaning, integration, and analysis projects.
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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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Extracting and aggregating data from large data sets using SQL/Hive or Spark;Analyzing large data sets using Python, R, SQL and/or Spark;Generating and visualizing data-based insights in Tableau or Power BIMicrosoft Office software such as Word, Excel, PowerPoint and Teams;Jupyter notebooks, Python, or SAS;Data mining and statistical modelingAdditional InformationWorksite: Washington, DCThis is a hybrid position.
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r data jobs Title: scientist in Arlington, VA
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