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Display analytic results in text and visually using appropriate data science, business intelligence, and visualization tools, such as Python, R, SQL, Tableau, PowerPoint, Excel, and communicate results to client audiences at all levels with presentations and briefings.
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Master’s Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field.
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Knowledge of Python data science tools, such as SciKit, Numpy, TensorFlow, Jupyter. Experience solving Big Data batch and real-time data processing problems, with large-scale analytics and data processing engines such as Apache Spark and Databricks.
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Assists the Technical Director in com municating with therapy associates and the medical directors ; interfacing with the regional radiation therapy programs ; development of action plans within the therapy department ; recruitment of radiation therapists for MedStar-Health ; data acquisition for monthly departmental reports.
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85% remote with occasional travelJob Responsibilities and/or Success FactorsProvide advisory support to CDAO Authorization Officials (AO)s regarding authorizations of Information Systems and cloud systems such as IaaS, PaaS, and SaaS in respective boundaries.
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HUBzone, WOSB, SDVOSB, VOSB, data science, devsecops, cyber, oracle, tanium, program management, information technology, engineering services, architecture and engineering, Powder River Industries.
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You will work to cultivate data science skills within the NIH by teaching courses to scientists on best data practices (e.g. Software and Data Carpentries, BrainHack Global as well as interfacing with specific neuroimaging repositories (e.g. The Adolescent Brain and Cognitive Development Project (ABCD), OpenNeuro, UK Biobank, The NIMH Data Archive.
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Reporting to the Data Lab Data Science Lead, with a dotted line to a Senior Scientist in Land & Carbon Lab, you will contribute to the research, innovation, implementation and development of new data analysis technologies that leverage artificial intelligence to detect and map crop-field boundaries and identify crop-types and related features with satellite data.
$96,000 - $110,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We solve challenging problems across a wide range of industries, but our superpower is cloud-based geospatial data processing, remote sensing, and Earth science systems. As a member of this team, this software engineer will build innovative tools allowing scientists and students alike to discover, transform, update and improve the quality of earth science data in the pursuit of solving a wide range of environmental and socio-economic issues.
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8 years’ work experience, OR a Bachelor's plus 4 years’ experience, may be substituted for a Master's Degree)Education: Junior:Degree in Geographic Information Science, computer science, cartographic science, geology, social science, environmental science or related technical field.
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We are looking for a Senior Quantitative Scientist with data science, machine learning, and natural language processing (NLP) expertise that will work closely with clinical structured and unstructured text data derived from electronic health records in support of Verana Qdata development which enables insight generation.
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Additionally, the role of Technical Applications Lead is responsible for researching best practices and developing one instance of underlying application data tools that interface with data consumers and producers, specifically where analysis is required for the creation of data, or responding to complex queries against the database.
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The incumbent serves as the Deputy Assistant Deputy Administrator of the Office of Experimental Sciences (General Engineer/Physical Scientist) responsible for applying a high level of technical expertise to assist with identifying, overseeing, and resolving complex engineering, scientific and technological issues associated with the NNSA's science-based Stockpile Stewardship Programs.
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Forensic Scientist within CIA's Directorate of Science and Technology apply deep technical expertise to provide identity-driven analysis and innovative solutions for complex mission requirements.
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Software Engineering & DevOps:Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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saas sales technical data science jobs Title: customer success manager in Washington, DC
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