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Using a Premium Audit selection model, the team can predict the likelihood of policy misclassification, automatically assign audit methods to save carriers time and money, and use machine learning to continuously improve correlation and prediction accuracy.
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As the lead in the design, development, implementation, and use of machine learning algorithms and models, you will address challenges and opportunities such as predictive analytics, natural language processing, computer vision, and recommendation systems architecture and enhancements.
$131,584 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our solutions are being used in more places than ever before including manufacturing automation, predictive maintenance, process control, consumer electronics, and defense and aerospace applications.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Predictive modeling and machine learning techniques. Leading team of data scientists in machine learning projects. Develop propensity, segmentation and other predictive models to drive business impact.
$243,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years in a hands-on role performing advanced predictive analytics using tools like Python, R, or Scala. Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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MS/PhD in areas of interest which include Defense (biosecurity, intel, threat assessment), Machine learning and modeling (computational biology, bio- or medically focused AI/ML, digital twins, predictive and multi-scale modeling) and chemistry (medicinal, organic, inorganic.
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Responsible for overseeing a team of data analysts and data scientists to provide analytical support through machine learning, statistical analysis, causal analysis, and modeling and simulation within the people analytics team.
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Working knowledge of replacing spindles, ball screws, linear guide ways, bearings, hydraulics repairs, and precision machine/laser alignments is a plus. Proactively conducts Preventive and Predictive Maintenance inspections and performs required.
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Familiarity with revenue cycle technology assets and concepts, e.g., point solutions and data interchange, ideally with exposure to product development or implementationEnthusiasm for intensely analytical work Understanding of statistical and advanced analytics methods, e.g., descriptive statistics, predictive analytics, and machine learningExperience sharing your views and perspectives with senior clients and colleaguesAbility to work collaboratively in a team environment.
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Applying specific architecture and general knowledge, our data team answers to a variety of problems of moderate scope and complexity for the customer building predictive analytics, maximizing automation, applying machine learning and combining tools and frameworks to turn disparate data points into objective answers that help military leaders make informed decisions.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
$173,200 a yearFull-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics.
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We’re looking for talented scientists capable of applying ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.
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machine predictive jobs in Alexandria, VA
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