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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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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.
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You’re experienced with open source languages and how they’re used in artificial intelligence and machine learning. 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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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.
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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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Experience with Machine Learning or Artificial Intelligence. The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Bachelor of Science Degree in Science, Technology, Engineering or Mathematics (STEM) or an advanced IA certification (i.e., CISSP or CASP.
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At least 4 years’ experience with custom code-driven machine learning projects using packages such as scikit-learn, H2O, xgboost, PyTorch, JAX, etc. PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics.
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Help derive insightful, strategic recommendations through core management consulting skills combined with data science / machine learning applications. You will partner with and build strong relationships with our clients' staff and management in the government and corporate sectors, providing business analytics, artificial intelligence, and IT solutions for mission-centric problems.
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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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