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Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry’s business. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry’s pricing strategy.
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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You will work to cultivate data science skills within the NIH by teaching courses to scientists on best data practices (e.g. Software and Data Carpentries, BrainHack Global as well as interfacing with specific neuroimaging repositories (e.g. The Adolescent Brain and Cognitive Development Project (ABCD), OpenNeuro, UK Biobank, The NIMH Data Archive.
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Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. This role spans the spectrum of data capabilities from data vision and strategy all the way through data science, in addition to cloud, DevSecOps , and integration capabilities.
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Our team covers the full range of data analytics and data science, including data architecture, data engineering, data visualization, predictive analytics, machine learning, and robotic process automation (RPA.
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Doctoral degree and 7+ years of experience in a research discipline relevant to patient-centered outcomes research (e.g., clinical epidemiology, health services research, sociology, psychology, health policy, biostatistics, economics, bioinformatics, data science, education or health education.
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ASG provides a broad range of healthcare technology related services such as software development and integration, mobile apps, AI/ML, Analytics, Data Science, Bigdata, DevSecOps, Digital transformation, cloud, and cybersecurity.
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Bachelor of Science in Data Science, Statistics, Computer Science, Mathematics, or related degree and subject with at least five (5) years of experience leading data analytics efforts; post-graduate degree in Data Science, Statistics, or Machine Learning preferred.
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3) Experience and expertise in data science, image processing, and machine learning based approaches highly preferred. (2) Minimum of 12 years of relevant technical/research experience related to ophthalmology/vision science including ocular cell biology, ocular pharmacology, eye surgery, optic nerve regeneration, stem cell-derived retinal pigment epithelium cell therapy, and/or regenerative medicine.
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MetaPhase supports the Chief Information Officer (CIO) and Chief Data Officer (CDO) at the National Science Foundation (NSF). This project supports the CIO/CDO through the implementation of data governance, data architecture & design, data quality initiatives, and community engagement programs through information sharing to harmonize the development of NSF’s data infrastructure.
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Bachelor’s Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, Statistics, Machine Learning, or Mathematics.
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Work with strategic analytics, data science, and data engineering personnel to evaluate and implement emerging solutions such as machine learning, artificial intelligence, and predictive analytics.
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Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience.
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Experience with technologies such as Dell EMC RecoverPoint, Isilon SyncIQ, Superna Eyeglass, Komprise and Zerto for replicating, migrating, archiving data and disaster recovery. Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools – including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more.
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data science jobs Title: science director Company: Merck in Mclean, VA
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