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Freddie Mac’s Modeling, Econometrics, Data Science & Analytics Department is currently seeking a Quantitative Analytics Senior who will be responsible for the development and execution of quantitative analytics and modeling projects in support of Freddie Mac’s fair lending activities.
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Strong engineering experience with the following core platforms and services:VMware ESXi and vSphereMicrosoft Windows Server 2016 and 2019 Deployment and AdministrationMicrosoft Windows 10 Deployment and Administration DNS, DFS, and DHCPActive Directory and defining, implementing, and maintaining Group Policy Microsoft SCCM with Operating System Deployment (OSD)Data center networking fundamentals (experience with software defined data center networks a plus.
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Responsible for overall data science and data characterization technologies and will report to the on-site program manager. An understanding and experience with visual and geospatial analysis is an added benefit for the senior data scientist: Geospatial Analysis - OpenGeo, ArcGIS, GeoTime, Clavin, Visual Analytics - Vortek (Starlight), Visualization - Gephi, Word cloud tools, and Graphics Production - PowerPoint, Adobe Creative Suite, Photoshop, HTML5.
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The US Thoracic Oncology Medical Science Liaison (MSL) is a key position within US Medical Affairs and works closely with cross-functional partners including Global Medical Affairs, R&D, Clinical Operations, and USBU. The primary role of the MSL is to serve as the scientific interface between Novocure and the healthcare professional communities with respect to communicating scientific information about Novocure products, scientific data and clinical development plans.
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Position Description: The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. The contracts Core Capabilities are: IA Management, Federal Information Security Management Act (FISMA) coordination and reporting, Risk Management Framework (RMF) application, IA compliance measurements and metrics, Assessment and Authorization (A&A), Vulnerability Management, and Cyber Defense support.
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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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SAIC’s National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, DevSecOps, cloud network operations, and secure communications.
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Bachelor's or Master's degree in science or engineering, including geology, environmental science, hydrogeology, or environmental engineering. Strong analytical skills, including experience conducting quantitative analyses using Microsoft Excel; experience with R, Python and data visualization tools a plus.
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Experience in data science and machine learning for retail & e-commerce. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.
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With our data science team, continue to push the boundaries of credit risk modeling and underwriting in Latin America. 7+ years in deep consumer credit granting roles including data analysis, credit analysis, and/or modeling areas.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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We fuse data strategy with data science and design driven innovation to create customer technologies for commercial and federal customers. We believe that data science that aligns with business value can increase market share and pricing power, enhance customer engagement or completely transform a product category.
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Bachelor's Degree in Computer Science, Engineering, or Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, or related field and 10 years of experience OR a Master's degree and 8 years of experience.
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Requires a bachelor's degree in information technology, Computer Science, Mathematics, Statistics, Business Engineering or Physical Science and 10 years of general experience in any of the following areas: complex problem solving, software, systems, business processes, cyber security, network, hardware installation, network management, enterprise communications, information assurance, system administrator or data standardization.
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of developmental roles in Cybersecurity Data Science, including Data Scientist, Artificial Intelligence (AI) Specialist, AI Operationalization Analyst, Data Modeler, Data Security Analyst and Operations Research Analyst.
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data science jobs in Vienna, VA
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