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Programming: Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala. Deep Learning: Understanding neural networks, backpropagation, architectures like CNNs, RNNs, transformers, and tools like TensorFlow, PyTorch, or Keras.
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You have passion and expertise in one or more of the following areas: risk analytics, data analytics, machine learning, SQL, Python, cloud security, network security, vulnerability management, data protection, threat intelligence & investigations, and identity & access management.
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4+ years of experience with Python, R, Spark or SQL. As a candidate for this role, you’re able to seamlessly switch from executive-level risk conversations to diving deep into controls and technology to driving high level, strategic discussions around metrics, data, and risk analytic reporting solutions.
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Provide support in mining FAA datasets in conjunction with information analysis tools but not limited to SPSS/R/Python/PySpark/Palantir Foundry to use appropriate algorithms/machine learning/artificial intelligence to study the data.
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Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
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Develop new or utilize existing technology to build dynamic web applications or software tools for bioinformatics applications using R, Shiny and/or Python. Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Use a variety of analytic tools (e.g., Excel, SPSS, SAS, R, Python, IRT software). Use a variety of analytic tools (e.g., Excel, SPSS, SAS, R, Python, IRT software). Conduct classical and IRT item analyses, test scoring and equating, standard setting.
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Experience with analytics tools like SAS, R, Python, and other advanced statistical software. Experience with Machine Learning, Artificial Intelligence, and Deep Learning algorithms.
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Must be proficient in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modeling, TensorFlow, Linear Algebra, R, SAS, NLP.
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Prefer heavy utilization of Open Source coding and data manipulation languages such as Python, SQL and R. have experience working within the Palantir Foundry platform using Python for data management, analytics and modeling, and experience building dynamic visualization dashboards and graphics.
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At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilizing Data analytics skills and experience developing mathematical models in R, Python, SAS, MATLAB, and/or SPSS; Working with analytics and construction management software packages including Cora, Power BI, Primavera P6, Primavera Unifier, @Risk, Tableau.
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Experience in programming languages (e.g. Python, R, Scala, or Java). + Support all GDIT Artificial Intelligence and Machine Learning and Data Management commitments through facilitation, development and maintenance of all applicable policies, procedures, and protocols in collaboration with GD, GDIT and other Business Units.
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Receive internal training on tools, technology platforms (Python, R, SQL, Excel) and modeling processes, learn how to apply theory to actual client project work, and hone business skills and applications of Data Science skills on business problems.
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This role will have opportunity to work across Amgens pipeline (early and late) to oversee the development of data review visualization tool, statistical/machine learning algorithms, and analytic pipeline/package/application in R. It provides opportunity to develop leadership skills in clinical development strategy and address scientific questions through practical quantitative thinking.
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python r deep learning jobs Company: Square Peg Technologies in Washington, DC
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