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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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Develop a familiarity with machine learning algorithms and advanced statistical methods, such as regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks; and.
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5+ years of experience with machine learning, statistical modeling, and optimization techniques. Use data science and machine learning to develop effective predictive models.
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Skilled with models for DoD problems and is familiar with natural language processing, machine learning, predictive modeling, statistical analysis, and hypothesis testing. Skilled with the use of open-source tools, cloud computing, machine learning, and data visualization.
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Uses statistical tools such as mathematics, statistics, and performance measurement and assigns and oversees the team with advanced analytics such as artificial intelligence, machine learning and natural language processing for cloud computing and analyzing data sets.
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Oversight of the NPSBN and verification and validation of program deliverables, including analyzing complex structured and unstructured data; enriching data using both internal and externally sourced data, employingadvanced data science principals, including state-of-the-art techniques(e.g., machine learning, artificial intelligence) to develop.
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Experience or familiarity with a wide range of analytics techniques, such as statistics, simulation modeling, optimization, machine learning, or natural language processing. VEA is seeking a Business Analyst to join a team responsible for developing advanced analytics products; applying data visualization and statistical programming tools to enterprise data to advance and enable the client's key mission outcomes.
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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Uses statistical tools such as mathematics, statistics, performance measurement, and advanced analytics such as artificial intelligence, machine learning and natural language processing for cloud computing and analyzing data sets.
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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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3-5 years of design and development experience in advanced analytics including machine learning, artificial intelligence, and statistical computations in Python and R. Experience with supervised and unsupervised learning, Natural Language Processing, and data augmentation to address imbalanced training sets.
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5+ years of experience with developing plans and leading major consulting assignments, including data analytics with machine learning and artificial intelligence. Knowledge of analytical and statistical language, including Closure, Scala, Python, or R.
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Demonstrated application of innovative statistical and machine learning methods in financial domain. May perform statistical and machine learning methods. Experience in developing machine learning models and algorithms, including the use of the following Python machine learning libraries: Numpy, Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, Pandas, and Matplotlib.
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Experience in a data analytics, open-source tools, cloud computing, machine learning and data visualization. Possess advanced ability to use/code in a language applicable to the project or task order such as Apache Hadoop, Python, and advanced knowledge of machine learning.
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Developing machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets. Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions.
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machine learning statistical jobs in Arlington, VA
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