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Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning.
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Experience with multiple tools providing security functions such as vulnerability management (e.g., Nessus), configuration management (e.g., BigFix, SCCM, ePO), endpoint protection (e.g., antivirus, ATP), data loss prevention, and intrusion detection software and hardware.
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We are seeking an engineer with a technical background in one of the following disciplines: systems engineering, applied operations research, modeling and simulation, RF and satellite communications, artificial intelligence and machine learning (AI/ML), or applied data analytics.
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Solid software engineering and / or data engineering skills for prototyping. Do you have the skills necessary to manage, understand, and analyze inhouse and customer data including text mining, developing predictive systems, risk scoring, creating efficient algorithms, data quality improvement and other related activities.
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Our support across our client base is expanding rapidly and encompasses important services, such as data analytics and visualization, threat analysis, risk management, modeling and simulation, cost estimating, earned value management, program management, system engineering, independent evaluation, and High Consequence Event prevention.
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PhD in Computer Science, Engineering, Applied Mathematics/Statistics/Data Science, or any quantitative field. Master’s in computer science, Engineering, Applied Mathematics/Statistics/Data Science, or any quantitative field.
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Experience with Python, R, Tensorflow, Cortana, Azure, Watson, SPSS, and SAS. Hands on evaluation experience with understanding of data exploration, model comparison, model evaluation, insights/interference, and data Interpretation / insight analysis.
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Demonstrated experience embracing and participating in a culture of knowledge sharing to broaden the understanding of: o advanced methods or o niche statistical methods and o data science analytic methods and o coding techniques to include fundamental understanding of model/formula strength, limitations, warnings and weaknesses when applied in various scenarios.
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QualificationsBasic Qualifications:Master's degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related field and 1 year of experience in the job offered or in a Data Scientist-related occupation.
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Qualifications Education and Experience PhD degree in applied mathematics, data science, physics, computer science, engineering, statistics, economics or a related field required; comparable work experience may be substituted for the PhD degree.
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You'll collaborate with business leaders, scientists, and engineers to incorporate sustainability domain nuances when creating data foundations, developing AI models/applications, and applying techniques like data indexing, validation metrics, model distillation, and customized loss functions.
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Knowledge and Learning: You possess broad technical experience and interest in computer science and applied technology such as human-computer interaction, data analytics and machine learning, advanced computing, and autonomy and adaptive systems.
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Familiarity with programming languages (e.g., Python, SQL) and scripting for automation of data processes. The IT Network Engineer will be closely collaborating with the ARLIS (Applied Research Laboratory for Intelligence and Security) Lab at the University of Maryland.
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The Senior Data Analyst will leverage leading-edge data and analytics techniques, e.g., Business Intelligence, Artificial Intelligence/Machine Learning, statistical modeling, and applied algorithms.
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Applied ABC is a rapidly growing, clinician-owned ABA therapy agency that provides both in-home and in-center therapy for children with autism. Applied ABC provides home-based ABA (applied behavioral analysis) therapy to children with autism across the United States.
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