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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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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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Similar Jobs (13) Principal Data Scientist - Creditflow locations 2 Locations time type Full time posted on Posted 17 Days Ago Principal Associate, Data Science locations New York, NY time type Full time posted on Posted Yesterday Principal Data Scientist - Business Card & Payments locations 3 Locations time type Full time posted on Posted 30+ Days Ago.
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Expertise with modern machine learning development frameworks (e.g. Keras, TensorFlow, PyTorch) The candidate will be responsible for leading the design, development, and prototyping of RF machine learning algorithms.
$146,000 - $234,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role requires an active TS and the ability to obtain and maintain an SCI w/Poly. The Data Scientist will perform cutting edge data analytics, supporting a major program advancing the state of the art in mission-focused big data analytics and predictive analytics.
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Experience using many of the following technologies: Python (Pandas, NumPy, SciPy), R (tidyverse), SQL, Tableau, Power BI, advanced Microsoft Excel, machine learning, statistical analysis. Fundamental knowledge of machine learning, data mining, statistical predictive modeling programming, simulation, and advanced mathematics.
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You have experience with clustering, classification, sentiment analysis, time series, and deep learning. Center 1 (19052), United States of America, McLean, VirginiaSenior Manager, Data Scientist - Business Card & Payments.
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Minimum of 5 years of experience in data analysis/science and modeling, with a focus on machine learning and/or predictive analytics. NFF is looking for a Data Scientist to support a Washington DC based Human Services client.
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Expertise in data analysis, statistical modeling, and machine learning techniques, with proficiency in Python, R, or other programming languages. Telecoms Data ScientistWe are seeking a qualified Telecoms Data Scientist to play a crucial role in analyzing large datasets relating to telecommunications network performance, user behavior, and network optimization.
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The Principal ML Research Scientist will also have a hands-on roll and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
$122,200 - $220,900 a yearExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Applying artificial intelligence, machine learning, and data mining techniques to national security-relevant problems. Data Scientist III: $95,100 - $144,800. Data Scientist IV: $113,700 - $173,600.
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You have experience building large deep learning models - whether on language, images, events, or graphs. Lead as an individual contributor and build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
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TechFlow, Inc. is hiring a skilled Data Scientist to join our team, focused on working with large federal government customers to develop advanced machine learning models for predictive maintenance and resource optimization use cases in domains that include transportation, logistics, and smart energy solutions.
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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