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Provide subject matter expertise on graphic design, data visualization, cartography, statistics, layout, visual hierarchy, color, and composition. Visually depict complex data and reporting into creative design solutions that effectively communicate the customer's objectives and requirements.
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Summit Consulting, LLC, is a quantitative and qualitative analysis firm that uses economics, statistics, and data science to solve problems for our federal and private-sector clients. We currently have an opening for a Junior Data Scientist.
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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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BASIC QUALIFICATIONSMaster’s Degree from an accredited, non-profit university or college, preferably in Computer Science, Statistics, Data Science, or a related field. PREFERRED QUALIFICATIONSExperience with data platforms and analytics technologies such as Snowflake and Databricks.
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Demonstrated knowledge of theory and application of various professional disciplines of mathematics such as probability and statistics, calculus, and actuarial science to conduct studies and perform quantitative analyses to support the development of data to determine insurance coverage and rates associated with the National Federal Insurance Program (NFIP.
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Program Statistics: Experience with evaluation and improvement metrics within large child welfare systems Analytics Platforms: Experience with Power Bi, Tableau, data architecture, data warehouses, algorithmic programming, and data visualization.
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The selected candidate will be part of IFPRI’s research projects that involves AI applications, such as “Generative AI for Agriculture,” “Statistics from Space,” and “Digital & Data Innovation Accelerator.
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Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) You’ll spend most of your time working with a wide variety of clients to deliver the latest data science and big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources.
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Demonstrates a thorough level of knowledge utilizing the Prophet actuarial valuation software, including:Model development using the US360 library and the modules for Statutory and GAAP valuation;Customization to Prophet code and implementation of non-standard product features and projection methodologies; and,Experience with FIS Data Conversion System (DCS) and Prophet Enterprise (PE) and their use in large-scale automated reporting processes.
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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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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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Experience in managing projects within a team setting that provides IP database management on large data sets for analysis using statistical signature packages (e.g., STATA, R, Python, etc.) Economist, 0110 Degree: economics, that included at least 21 semester hours in economics and 3 semester hours in statistics, accounting, or calculus.
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Advanced/post-graduate degree in computer science, Data Science, Statistics, or a related technical field. As a Lead Data Scientist , you will support Hilton's Customers, Brands, Marketing, Digital, Revenue, and Sales organizations, with special support for the executive leadership team.
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Master's Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Finance, Operations Research, Engineering, Physics or related discipline. - At least 3 years of experience working with large-scale, cloud-based coding environments and databases (Python, SQL or other data manipulation languages.
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Familiarity with revenue cycle technology assets and concepts, e.g., point solutions and data interchange, ideally with exposure to product development or implementationEnthusiasm for intensely analytical work Understanding of statistical and advanced analytics methods, e.g., descriptive statistics, predictive analytics, and machine learningExperience sharing your views and perspectives with senior clients and colleaguesAbility to work collaboratively in a team environment.
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data statistics jobs in Arlington, VA
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