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Evangelize human-centered technology : Foster a culture of continuous learning and knowledge sharing on emerging trends in data science, machine learning, artificial intelligence, and related technologies.
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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, geospatial analytics, machine learning, and artificial intelligence.
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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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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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The scope of ADLM data science includes data analytics, informatics, machine learning, and artificial intelligence (AI). Experience with data analytics and the application of data science tools and techniques in healthcare, including use of machine learning, statistical modeling and natural language processing techniques.
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The Data Scientist will join a team responsible for developing advanced analytics products; applying Machine Learning, Artificial Intelligence and statistical programming tools to enterprise data to advance and enable key mission outcomes.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Work you'll do The Data Scientist will join a team responsible for developing advanced analytics products; applying Machine Learning, Artificial Intelligence and statistical programming tools to enterprise data to advance and enable key mission outcomes.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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You’re experienced with open source languages and how they’re used in artificial intelligence and machine learning. At least 4 years’ experience with custom code-driven machine learning projects using packages such as scikit-learn, H2O, xgboost, PyTorch, JAX, etc.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Our primary technical competencies include network engineering, cybersecurity, cloud, machine learning, artificial intelligence and data analytics. Proficient with MS Office Suite, and other business intelligence tools for analysis such as Excel, Power BI with the ability to support business analytics with data.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
$110,100 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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In the role, you will collaborate with engineers and data professionals to foster the use of data science, advanced analytics, machine learning, and other techniques to amplify solutions in EC’s issue areas.
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At least 2 years’ experience with machine learning. PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics. Engage with the data science community to solicit feedback and lead virtual or in-person training sessions.
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Help derive insightful, strategic recommendations through core management consulting skills combined with data science / machine learning applications. 5+ years of experience with Data Science, Machine Learning and/or AnalyticsMust have at least some hands on experience, or at least experience training courses on these subjects.
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Evaluate Machine Learning pipelines and Enterprise offerings to coach the team towards making the best development and deployment decisions for their use cases. This role will be the catalyst that drives data science culture towards adopting the best mix of internal and external platforms, tools, and practices to deliver model-based insights to our customers faster than ever before.
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