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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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Educate relevant stakeholders in the theoretical and empirical bases of data science and behavioral science related to the deterrence, detection and mitigation of potential threats by providing or contributing to expert training briefs, presentations and educational courses.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Master’s degree in Survey Research/Methods, Statistics, Biostatistics, Epidemiology, Public Health, Mathematics, Data Sciences, or other relevant statistical or social science field. ICF’s Research Science, Survey Solutions and Data Modernization Portfolio is seeking a SAS Programmer/Data Manager with experience developing and implementing data management strategies of varying complexity, producing cleaned and client-ready datasets, and conducting varying statistical analyses to support a range of projects including public health, housing, military and veteran’s issues, energy, transportation, environment, and social and economic policy.
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Experience in cloud environments with a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position.
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In this role, you will be responsible for leveraging data science techniques to analyze and optimize data taxonomy processes within the Information Systems Security Management (ISSM) environment.
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The SOPAX Data Science team consists of highly skilled Data Scientists working together following an agile methodology and design thinking. - Experience with common data science toolkits, such as R, Weka, Python/NumPy, MatLab, etc.
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Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act. Principal Data Scientist (Credit Risk & Decision Science.
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PhD in data science, computer science, management information systems, mechanical engineering, electrical engineering, power systems engineering, or related field. Master's degree in electrical engineering, mechanical engineering, power systems engineering, data science, statistics, computer science, management information systems, or related field.
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Data analysis tools: Python, R, SAS, PySpark, Tableau Server, PostgreSQL, SQL, Django, ArcGIS, The candidate needs to be an advanced practitioner of SQL, R, Python and be familiar with working with data in an Azure Cloud environment using DataBricks and other cloud analytics tools.
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As an advanced data scientist and researcher on our Artificial Intelligence team, you'll learn and apply innovative AI, machine learning, and data science methodologies to make a real-world impact on enabling climate resilience and preparedness for the nation's infrastructure.
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RequirementsCurrent active Top Secret/SCI clearance with the willingness to take a polygraph examBachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, Geographic Information Science or similar + 3 years of experience.
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Do you have experience with Cloudera Data Science Workbench, StreamSets or NiFi? Experience with Cloudera Data Science Workbench is a plus. Experience with Cloudera Data Science Workbench.
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3+ years of hands-on work experience in one of the related areas: Data Science, Data Engineering, and ETL. Experience with data exploration, normalization, curation, and AI/ML data operations.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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data science jobs Title: data science lead Company: Booz Allen Hamilton in Vienna, VA
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