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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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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. Has experience managing on-shore and off-shore teams and knows how to optimize operating models to ensure data entry, data operations, and data thought leadership is being performed by the right talent base with scale and speed.
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The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems. Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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Strong programming skills in Python with experience using libraries like NumPy, Pandas and TensorFlow or PyTorch for machine learning and data manipulation. 6+ years of professional experience in software development focusses on machine learning, platform architecture, data science, pipeline development and maintenance of the big data platforms, software, and network systems.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience or academic work using machine learning techniques.
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Across private and public sectors — from fraud detection to cancer research, to national intelligence — you see machine learning turning data into actions and you want to be part of the team.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Manage and support the Data Engineering team responsible for leveraging Databricks for data processing, analytics, and machine learning. Proficiency in data engineering concepts, tools, and technologies, with hands-on experience with Databricks or similar platforms.
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Serve as a trusted advisor to decision-makers, offering consultative insights on how the Nvidia DGX AI platform and machine learning can be applied to their biological data challenges.
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Your innovative approach will harness machine learning and artificial intelligence to deliver impactful solutions, enabling customers to make informed, data-driven decisions through prototypes and scalable production systems.
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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.
$234,700 a yearFull-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience applying econometrics/statistics, predictive modeling, simulation, and data visualization methods to support the development of health policy. Extensive knowledge of healthcare data/payment concepts (e.g., claims data structure/contents, claim types, payment concepts) and analyzing claims and enrollment data.
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The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Collaborate with the instructional design team to develop two e-learning courses on topics related to surface mining regulations and environmental conservation. Established in 1977 under the Surface Mining Control and Reclamation Act (SMCRA), OSMRE's primary mission is to ensure that coal mining activities are conducted in an environmentally responsible manner and that the land is restored to beneficial use following mining operations.
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An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
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machine learning data mining jobs Title: machine learning scientist Company: The Fountain Group in Arlington, VA
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