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Acts as primary metadata reviewer to provide the Center's technical review of metadata associated with scientific data publications and releases and any other product that includes scientific data, to ensure clarity, completeness, and compliance with USGS Fundamental Science Practices (FSP), Federal Geographic Data Committee (FGDC), and International Organization for Standardization (ISO) standards.
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Bachelor's degree in Business, Engineering, Management Sciences, Computer Science, Information Systems, Social Science, Education, Human Resources Development, Psychology, or other related disciplines.
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Bachelor’s degree in business, management information systems, computer science, life sciences or equivalent. Must have 6+ years of pharma / clinical research / data management / health care experience or 8+ years of project management experience (and / or applicable work experience.
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Perform advanced data analytics tasks such as simulation, optimization, artificial intelligence and machine learning, advanced statistical analysis, regression, data science, decision analysis, performance metric development, risk assessment, scheduling, process improvement, and process automation.
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Currently enrolled in an MA or PhD program in a field that emphasizes quantitative social science research, such as Industrial/Organizational (I/O) Psychology, Economics, Behavioral Science, Data Science or Analytics, or a related field.
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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. Lead and participate in solutioning sessions, working hand-in-hand with businesses/clients, translating business objectives into actionable machine learning/data science use cases.
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3+ years' experience selling one or more of the following: end-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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TITLE: Senior Manager - Analytics and Data Science (J. Crew Group, LLC) DUTIES: Serve as the subject matter expert (SME) for the development, deployment, and ongoing maintenance of J.Crew Group’s data science models.
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The Department of Data Science (DS) at New Jersey Institute of Technology (NJIT) seeks candidates to fill Adjunct Professor positions. Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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Please include your name, and the position title, Research and Data Science Intern Director, in the email subject line. We are seeking a detail-oriented, dynamic and driven Research and Data Science Intern to join our team.
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SAM’s lead representative to ASC’s Data Intelligence working group for development of SharePoint solutions and creation of data visualizations using Microsoft Power BI. Collaborates with other Science and Area Management representatives of the Data Intelligence group.
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Proficiency in SQL, SAS or R, and JavaScript, CSS, HTMLExperience with database management and integration (e.g., Azure, Fabric)Bachelor's degree in Computer Science, Information Technology, Data Science, Finance, or a related field and 5-7 years of relevant experience.
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Demonstrated experience and aptitude in a hydrologycontext with experience in: (a) remote sensing data products, (b) data analytics, data wrangling, data management, and data synthesis, (c) machine learning approaches for mapping, (d) numerical and analytical modeling environments (e.g. Python), and (e) geoprocessing and GIS analytics.
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Completed or currently working towards a Bachelor's Degree in Computer Science, Data Science, Data Analytics, Artificial Intelligence, Information Technology degree.
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Solid experience in big data engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL. A strong background in data engineering with experience in Hadoop, Spark, and Scala is also essential for effective performance in this role.
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science data management jobs Title: analytics manager Company: Bmo Financial Group in Phoenix, Oregon
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