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Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely. The Data Scientist/Machine Learning Engineer will have strong analytical skills and experience in using Posit and RStudio to join our team.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Preferred Qualifications: Certificate or graduate work in educational technology, instructional design, or learning science is a plus. We encourage individuals with high school teaching experience, ed-tech experience from start-ups to larger organizations, and those with direct experience in educational publishing to apply, among others whose creativity and/or expertise will lead to success in working with a team to develop teaching and learning strategies for digital learning, primarily in high school AP and elective courses.
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Cash App, Customer Operations team is looking for a Learning and Development Lead to support our Cash Customer Operations team (CCO). We ensure that learning and development are embedded in all areas of the CCO organization: training, talent development, leadership development, continual learning, and career pathing.
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BS/MS in Computer Science, Mathematics, Physics, Engineering, or proof of equivalent software engineering experience (PhD’s welcome) The ideal candidate is someone who is passionate about taking cutting edge research and technology to solve new problems, and enjoys working with the entire lifecycle of Machine Learning software.
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QUALIFICATIONS:Minimum education and experience required: Bachelor’s degree in Applied Computer Science, Computer Engineering, Computer Information Systems, Information Technology, or a related field of study plus 7 years of experience in the job offered or as Software Engineer, Senior Java Developer, Associate / Software Engineer, Consultant, or related occupation.
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Minimum of 3 years of experience in a data science role, with a strong foundation in statistical analysis, predictive modeling, and machine learning. Master’s degree or higher in Data Science, Statistics, Computer Science, or a related quantitative field.
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Experience in machine learning methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical bayesian regression, unsupervised learning, clustering/segmentation)Key Skills: Data Science, AI/ML, SQL, R, Python, C.
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Moderate computer skills including knowledge of Medical Record Keeping, MacOS, Apple iOS, Microsoft Office, Google Docs. Experience with online based software Booker, Gusto, or Deputy is a plus.
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Our capabilities use machine learning, serverless, streaming analytics capabilities and data analysis to build a platform that provides powerful insights into understanding the true sources of our request flows.
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Required Minimum QualificationsIntern Pursuing a Bachelor’s, Master's, or Doctoral degree in Electrical Engineering and Computer Engineering, Aerospace Engineering, Software Engineering, Imaging Science, Optical Engineering, Applied Mathematics, Physics, Astronomy, Astrophysics, Computer Science or a related discipline.
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This team focuses on implementing all aspects of data analytics and data science, including data querying, visualization, predictive analytics, machine learning, artificial intelligence, and robotic process automation (RPA.
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QualificationsCurrent Georgia License as a Registered Professional NurseA minimum of a Associate of Science in Nursing requiredCurrent American Heart Association Basic Life Support Health Care Provider Card required.
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Bachelor's or master's degree in computer science or equivalent. The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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5+ years experience in AMAMR-related areas of machine computational/environmental perception including expertise with one or more SLAM algorithms, collision detection, computer vision, machine learning, and ground robotic software (ROS.
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software computer science machine learning jobs Title: engineer backend software in Atlanta, GA
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