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We are seeking individuals with a profile of skills in psychometrics, statistical computing & programming, simulation-based research, natural language processing, and machine learning.
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Utilizing statistical analysis, unsupervised machine learning, supervised machine learning, and deep learning, as needed. Have 5+ years of experience (2+ years of experience if Masters or Doctoral degree) in the machine learning and data science fields; OR completed and have a strong interest in linear algebra, calculus, statistics, probability, or related coursework.
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What We Do:Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cyber security challenges.
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Support Defense and security clients as a Data Scientist performing data science, analytics, data wrangling, statistical analysis, data engineering, and machine learning. 5+ years of experience performing data science and analytics, such as data wrangling, data visualization, statistical analysis, predictive analysis, and machine learning.
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Proficiency in key econometric and statistical techniques (such as predictive modeling, logistic regression, survival analysis, panel data models, design of experiments, decision trees, machine learning methods.
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Experience in applying statistical and machine learning methods such as regression, classification, clustering, time series, natural language processing, deep learning, etc.
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Apply programming to parse data, statistics, machine learning and artificial intelligence techniques, and NLP algorithms to uncover novel trends or factors representing opportunities or challenges to our business.
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Applying artificial intelligence, machine learning, and data mining techniques to national security-relevant problems. Statistical analysis of national security data (with proficiency in R, Stata, Python, SAS or other statistical analysis software.
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Develop and apply operations research / statistical / mathematical / artificial intelligence / machine learning methodologies and techniques to analyze the effects of export controls.
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Knowledge of high throughput screening (HTS) data, toxicology studies, machine learning and experimental design for genomics studies, dose-response, and environmental health studies. Experience with conducting statistical analyses in high-performance computing (HPC) or cloud environments.
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Researching and identifying Artificial Intelligence (AI) methods – including Machine Learning (ML) and Natural Language Processing (NLP) methods. Perform statistical (and machine learned) analyses on data to serve business purposes.
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Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers.
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Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.
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Demonstrated experience using statistical and machine learning techniques including supervised and unsupervised learning and natural language processing. The Scientist will leverage automation and machine learning to manage data, predict scenarios and make recommendations.
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The GPS Analytics and Cognitive (A&C) offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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machine learning statistical jobs in Washington, DC
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