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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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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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As a Senior Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites.
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Proven expertise in AI Services, Cloud Services, Cybersecurity, IT Operations, Program Management, Network Engineering and Administration, Disaster Recovery, Data Center Operations, Cloud Engineering, Data Architecture, and Data Engineering domains.
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Maximus is seeking a Data Scientist to spearhead AI and data initiatives for the Department of Defense's Chief Digital and Artificial Intelligence Office (CDAO). Experience with data science techniques, classical machine learning, and deep learning for anomaly detection.
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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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Proven experience as a Business Intelligence Analyst, Data Scientist, Data Engineer, Data Analyst, Power BI Developer, or in a similar role. IBM Data Scientist (TS Clearance) in Washington, District Of Columbia.
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IT Concepts Inc. (ITC) is seeking an experienced Data Scientist to join our team of diverse technical professionals to assist the Department of Veterans Affairs (VA) in analyzing clinical data and Informatics solutions delivered to the VA enterprise to support organizational learning and a High-Reliability Organization.
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We are seeking a talented Data Scientist to join our team and drive innovative GenAI initiatives focused on solving complex financial challenges in the retail industry. Extensive experience in data science, machine learning, or optimization models.
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We provide our clients with unified health economics and outcomes research, global pricing, access strategy and analytics, payer and physician pull-through, and data management. Any data provided as a part of this application will be stored in accordance with our Privacy Policy.
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The Data Scientist & Implementation Specialist will support the Armed Forces Health Surveillance Division (AFHSD) Global Emerging Infections Surveillance (GEIS) Branch efforts to coordinate infectious disease surveillance data collection, management, analysis, and visualization activities within the Department of Defense (DoD) in order to provide early detection, prevention and response to infectious disease threats of military relevance.
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7 years of experience in data analysis, data modeling, data profiling, data research, and data management. Extensive experience working with data in SQL, Python, and/or R.
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Demonstrated expertise in Apache Spark for big data processing. Develop data science solutions to enhance bank operations. Lead and contribute to the completion of various data science use cases.
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Data Scientist (Senior) Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government. Conduct extensive collections and analytic modeling, data processing.
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Are you a Senior Data Scientist that likes to perform cutting edge data analytics? Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more.
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data job Title: scientist in Washington, DC
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