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Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
$131,835 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Test Engineer, TS/SCI with a Full Scope Polygraph Security Clearance is Required, Annapolis Junction, MDThe Test Engineer will analyze system requirements and concept of operations documents, acquisition plans, and system descriptions to develop evaluation and test plans and procedures, prepare for and conduct the data collection and analysis, and report status and results.
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Bachelor’s degree in Math, Science, Engineering, Statistics, Engineering Management, or related discipline from an accredited college or university is required. FOR OFFICIAL USE ONLY Analyzes system requirements and concept of operations documents, acquisition plans, and system descriptions to develop evaluation and test plans and procedures, prepare for and conduct the data collection and analysis, and report status and results.
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Conduct research into and apply knowledge of Government test and evaluation concepts and related engineering, acquisition, and operations activities as needed to support the T&E activitiesRevise existing Test PlansInstall Automated softwareTest against requirements/use casesAbility to work with developers on code quality standardsBasicQualifications:Bachelor’s degree in Math, Science, Engineering, Statistics, Engineering Management, or related discipline from an accredited college or university.
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Bachelor's degree in Math, Science, Engineering, Statistics, Engineering Management, or a related discipline and at least eight (8) years of prior relevant experience. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
$183,300 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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A M.S. in a subject area related to artificial intelligence, machine learning, or data science (e.g., Computer Science, Applied Mathematics, Statistics, or Engineering). If so, we're looking for someone like you to join our team at APL. The Threat Analytics Systems Group (QAI) at APL is seeking a Senior Information Extraction Data Scientist to help us address key information extraction challenges and bring research from concept to reality.
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This includes, but is not limited to, scheduling, financial data, material data, labor data, dashboard statistics, CDRLs tracking, and any other data required by the PMO. Moreover, you will be involved in program planning, which includes defining program objectives, developing and maintaining schedules, developing the program work breakdown structure, and defining and negotiating program budgets and spend plans.
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The Business Intelligence Analyst III is responsible for leading efforts in data analytics, data collection, Advanced working knowledge of Power BI (Create Visualizations, Knowledge of DAX Language, ability to Model Data, etc.
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15+ years of professional experience in data science analytics in areas such as predictive modeling, statistical analysis, machine learning, text mining, geo-spatial analytics, time series forecasting and/or optimization.
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A Bachelor’s degree (or higher) in economics, finance, operations research, engineering, physical science, computer science, mathematics, statistics, data science, or another similar field.
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Previous experience as a Technical Digital Network Analyst or similar Technical Targeter duties working with technical data from Maryland customer repositories and SIGINT tools/capabilities. Bachelor’s degree in information systems, informatics, statistics, or computer science/cyber security or equivalent military, industrial contractor experience.
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The Machine Learning Engineer will be an essential member of Eccalon's Machine Learning R&D Team, where we engineer large tailor-made systems to solve complex data-related problems from many domains.
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Five years of experience programming with data analysis software such as R, Python, SAS, or MATLAB. Develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics.
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Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field.
$214,300 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Mathematical background in areas such as statistics, linear algebra, complex analysis, differential equations, Monte Carlo methods, numerical methods, and machine learning (ML) or artificial Intelligence (AI.
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data statistics jobs in Columbia, MD
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