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This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. Chip in to data engineering and data science frameworks, tools, and processes.
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Bachelor’s or Master’s Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience.
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As a member of the Data Science Engineering team, you will have significant responsibility to help build large scale cloud-based data and analytics platform with enterprise-wide consumers.
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This position is responsible to the Director of the Health Statistics and Data Science Core at DUSON. WORK PERFORMED Research Operations In collaboration with the Duke Office of Scientific Integrity, serves as an expert resource to study teams on design, implementation and adherence to data management plans, design of case report forms, developing data entry guidelines and standards and overseeing data quality control processes.
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This Sr. Engineer role supports our next-generation biosensor product design and development, focusing on clinical data analyses and sensor algorithm verification and improvement. Analyze unstructured and/or structured biological data from biosensor clinical trials and evaluate biosensors performance to support product designs.
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Using advanced cyber techniques, our team of technologists and analysts employ capabilities spanning traditional computing environments to Internet of Things (IoT), includingoffensive and defensive cyber operations and analysis, signals intelligence (SIGINT) discovery, and data science.
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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, machine learning, and artificial intelligence.
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Lead the creation of processes and algorithms to transform traditional GEOINT imagery and open source data into spatio-temporal information describing places, events, and activities. We are looking for leaders in the areas of Engineering and Science who are excited about leading multidisciplinary teams and research efforts in a fast paced environment, while also help mentor and develop personnel in this problematic field that has applications in defense, law enforcement, security, disaster relief, human geography, disaster preparedness, and first response.
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We are currently seeking a motivated entry-level to mid-level Geologist, Hydrogeologist, or Environmental Scientist who is an accomplished self-starter and effective team player with a strong science background to work under the direction and supervision of senior professionals.
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Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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Specialization: Machine Learning/Data Science. 90% Machine Learning / Data Science. Relevant data science skills. Bachelor's, Master's degree, or Ph. D. in a relevant field: Statistics, Applied Mathematics, Operations Research, Computational Physics, Computer Science, Engineering, etc.
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Research and education areas at DIMACS include algorithms, combinatorics, complexity, privacy and security, discrete and computational geometry, optimization, graph theory, data science, artificial intelligence, and machine learning, with applications in sustainability, epidemiology, genetics, networks, transportation, security, and economics.
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SEL is seeking a Sr. Specialist, Data Engineering and Science who is an experienced in maintaining high level of data quality and integrity as well as in delivering marketing insights with advanced analytics for Sony’s marketing activities and business growth.
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As a member of the division of Research and Engagement, the Data & Digital Technologies Librarian develops and promotes the NDSU Libraries suite of technologies: Data Visualization Lab; Digital Fabrication Lab; CoLab Space; Multimedia Lab which includes podcasting, presentation, and Lightboard options.
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As the Digital Learning Experience Lead for Data & AI, you will be hands-on developing digital learning solutions and leading learning initiatives, in addition to managing a new digital learning developer team.
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data science jobs Title: data science lead Company: Joveo Us
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