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Degree: major or equivalent, or a combination of courses totaling at least 24 semester hours, in international law and international relations, political science, economics, history, sociology, geography, social or cultural anthropology, law, statistics, or in the humanities; or 12 semester hours in one of the above disciplines and 12 semester hours in statistics/quantitative methods.
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Working knowledge of any of the following: asset/liability management, financial accounting, cost accounting, budgeting principles and practices, statistics, finance, and/or mathematic modeling.
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Expertise in common Geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
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The college stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, statistics, and more.
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Preferred Qualifications Advanced degree (Masters or PhD) in a Quantitative discipline such as Statistics, Mathematics, Operations Research, or Econometrics. Experience in the financial services industry, including credit risk, market risk, and fraud detection.
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Utilize strong GIS technical know-how and census and official statistics domain expertise to work across Esri and support official statistic activities. Support global government customers with advances in the integration of statistical, geospatial data, and geospatially enabled statistics to support evidence-based policy making.
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Descriptive statistics, predictive modeling, data visualization), and this can include significant academic projects. Our support across our client base is expanding rapidly and encompasses important services, such as data analytics and visualization, threat analysis, risk management, modeling and simulation, cost estimating, earned value management, program management, system engineering, independent evaluation, and High Consequence Event prevention.
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Utilize and develop queries and reports from the HRIS system (PeopleSoft), CAVE, and Cognos using appropriate data science and business intelligence tools (Python, R, SQL, Tableau, Microsoft Office,); and analyze data using descriptive (e.g., means, percentages) and inferential statistics (e.g., ANOVA, t-test, regression modeling techniques.
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Masters degree in a highly quantitative and computational discipline (e.g., data science, analytics, statistics, computer science, mathematics, engineering, etc. + Bachelor’s Degree in a quantitative and computational discipline (e.g., data science, analytics, statistics, computer science, mathematics, engineering, etc.
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Provide subject matter expertise on graphic design, data visualization, cartography, statistics, layout, visual hierarchy, color, and composition. Adobe Acrobat, Adobe Photoshop, Adobe Illustrator, Adobe InDesign, Avanza MA Publisher, and ESRI ArcGIS.
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Master's or PhD degree in Data Science, Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field. Master's or PhD degree in Data Science, Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
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Economist, 0110 Degree: economics, that included at least 21 semester hours in economics and 3 semester hours in statistics, accounting, or calculus. This position is located in the Office of the Chief Economist (OCE) in the Office of Policy and International Affairs (OPIA) at the United States Patent and Trademark Office (USPTO.
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Essential Job Requirements: Clearance: Ability to obtain a Public Trust Education: Mathematics, Computer Science, Economics, or Statistics or related field Required Knowledge/Experience: 3+ years’ experience mining data as a data analystProven analytic skills, including mining, evaluation, analysis, and visualization.
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Ph. D. in Economics, Statistics, Public Health, Public Policy, Epidemiology, Biostatistics -or- Master's degree in a related field with 5+ post graduate years of relevant experience. The Lewin Group seeks a cancer epidemiologist or health economist with expertise in oncology to conduct rigorous empirical research on the most current policy issues surrounding healthcare reform.
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Bachelor of Science degree in a quantitative discipline such as data science, mathematics, statistics, earth science, quantitative social sciences, geographic information science, computer science, physics, or a related field.
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statistics job in Springfield, VA
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