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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics.
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Participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government You'll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books.
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Strong familiarity with machine learning, data mining, dimensionality reduction, and related analytics methods (e.g., clustering, sequences, networks, time series, deep learning, regression analysis, time series, probabilistic models, supervised classification and unsupervised learning, statistical analytics, etc.
$90,000 - $149,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Apply coding skills to preprocess data and apply statistical, machine learning and artificial intelligence techniques, including NLP and image processing algorithms. Proficiency in the use of one (or more) of these methodologies with demonstrated and interpretable insight and impact: generative artificial intelligence (Gen AI), deep learning, natural language processing, large language models.
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Be THE subject matter expert in Cloud Security and Application Security Posture Management (ASPM), translating deep knowledge into persona-specific partner learning experiences. Collaborate with and provide subject matter expertise to partner learning professionals with the goal of upskilling CrowdStrike partners through enablement experiences, including live training, on-demand learning, video job aids, assessments, podcast education and train-the-trainer programs.
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GDIT's DOJ/OJP team is looking for a dynamic and experienced Data Scientist to guide and build our client's Data management Center of Excellence. Extensive experience in data mining, AWS Cloud Data Services - Glue, S3, EventBridge, Athena, Presto SQL, Lambda and data analysis.
$131,750 - $178,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in data science modeling - Machine Learning, Deep Learning, Decision Trees, Random Forest, Neural Networks, Supervised/Unsupervised Learning, Forecasting, Predictive Modeling and Clustering.
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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.
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Active (current) credential with o ne of the following Cisco certifications: CCNA Data Center, CCNP Data Center, or CCIE Data Center certification. This position will support data center operations and cloud-modernization efforts , and acts as technical lead of a small team , a hands-on technical architect and domain expert , and an escalation point for troubleshooting challenging issues within a 200+ person program.
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Provides oversight for the Global Health e-Learning Center (GHeL) and the integration of digital learning to enhance Workforce Development activities. Oversees the maintenance of a web-based Workforce Development tracker including tracking of OL and WL services, learning needs, and measuring learning outcomes such that the workforce remains current and relevant in a dynamic environment; leverages monitoring, evaluation, and learning (MEL) data and findings to inform improvement of learning offerings (events, courses, programs, etc.
$145,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Create cyber threat intelligence conclusions by using data science and analysis (e.g. outlier detection, gap analysis, normalization, machine learning, automated models, natural language processing, etc.
$110,000 - $134,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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They will also have familiarity with ISR data processing capabilities and maintain a contemporary grasp of Artificial Intelligence and Machine Learning tools that are utilized to support ISR data collection.
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The GeoTech Center focuses on the global, national, and economic impacts of artificial intelligence, data and machine learning, personalized medicine, additive manufacturing, nanotechnology, green energy, telecommunications networks, synthetic biology, and other new technologies on the horizon.
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data center deep learning jobs Title: engineer Company: Nvidia in Bethesda, MD
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