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Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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Apply a variety of spatial data science techniques to tackle customer challenges to include geospatial statistics, spatial optimization, spatial pattern analysis, geospatial artificial intelligence, spatial autocorrelation, activity-based intelligence, imagery analysis, remote sensing, and geospatial data visualization approaches.
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Candidates are expected to have a wide range of technical and functional capacities with recent experience supporting the U.S. military in a Data Science, Data Visualization, or Data Engineering role and demonstrate a strong understanding of developing and enhancing data-driven platform capabilities.
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This role is perfect for someone who thrives at the intersection of data science, data engineering, and business intelligence, and enjoys working closely with Federal clients to drive strategic decision-making through data-driven insights.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Current Master's - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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The GPS AI & Data Operations offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Your expertise in data science, statistical modeling, and machine learning will be critical in developing and executing strategies that optimize data collection and streamline recommendations for our customer.
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Minimum of associate of science degree in healthcare informatics but prefer a bachelor of science degree in healthcare informatics or healthcare management. Certified Tumor Registrar, Part Time, Monday – Friday, 10 am- 230pm, no weekends Purpose of Job This job aims to have a HUH-employed CTR to perform all cancer registry data abstracts, follow-ups, and cancer quality data reporting, cover tumor board conferences, and perform case findings from various EMR sources to support our cancer program’s initiatives.
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Work with actuarial and data science software and technologies including MG-ALFA, Axis, Prophet, Dataiku, R, and Tableau. Undergraduate degree in Actuarial Science, Applied Mathematics, Statistics, Economics, Computer Science, Data Science or Data Analytics or other quantitative major.
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5+ years of experience in ML, data science, computer science, or computational engineering. As a machine learning engineer on our National Security team, you'll train, test, deploy, and maintain models that learn from data.
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Social science research studies. Links Global seeks a talented and dynamic Social Media Specialist/Digital Marketing Specialist/Data Analytics to join our marketing communications team.
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As a Data SME, your expertise in Data Science, Data Visualization, and Data Engineering will be pivotal in shaping the future of our data-driven capabilities.
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Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretationCollaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiativesEnsuring data quality, accuracy, and compliance with data governance and privacy standards Requirements:Education: A bachelor’s degree or higher in human resources, statistics, data science, business, or equivalent related experience.
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Basic QualificationsBachelor’s degree in data science, justice, social work, psychology, education, or other social science related subject. Strong interest and/or experience in related topics such as refugee, immigrant, and unaccompanied children; child welfare; capacity building; technical assistance; culturally responsive evaluation; participatory evaluation; implementation science and/or continuous quality improvement (CQI) Prior work experience in a consulting environment.
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science job Title: data in Mclean, VA
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