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Experience of data dashboard or programmatic data visualization using Tableau, Qlik, Power BI, Python, D3. Strong hands-on experience in the Bash scripting and Python toolkit for data manipulation and machine learning (e.g., NumPy, Scikit-learn, TensorFlow, PyTorch.
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Additional tasks may include big game surveys, raptor nest surveys, acoustic bat data collection, prairie dog colony delineation, and post-construction monitoring at nearby wind energy facilities.
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If applicable to the role, perform maintenance, repair, and operation tasks of utility equipment, solar PV equipment, and/or Cogen equipment, and/or disables/enables fire alarm systems; and set up and operate electrical data capturing devices (Dranetz, Fluke PQA, etc.
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Clerical support for the LCCC Foundation staff, including but not limited to: data entry and database clean-up. Providing office support for all members of the LCCC Foundation team, including but not limited to filing, preparing and assisting with mailings, data entry, prep work for events and archiving.
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Manage strategic engagement with the field to help grow our international footprint, take market share, land marquis/big logos, and retain existing customers. Data-driven engineering executive with broad business background with experience leading the delivery of cloud services.
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In alignment with the MVO Team Education and Training leader, provide internal training and share expertise on scientific, health policy, and HEOR data to appropriate stakeholders. Contribute to the organization and submission of outcomes research project data for presentation at scientific congresses and authorship in scientific publications.
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Familiarity with data migration software such as SSIS/Kingswaysoft. Demonstrated experience in many technologies such as Kofax, IBM DataCap, MongoDB, Dataverse Data analytics tools (Tableau, PowerBI), Oracle WebLogic, J2EE, Spring/Hibernate, Angular, and SharePoint development.
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Degree in engineering or construction management as well as 2 years of on-site Data Center construction scheduling experience is required. Develop and maintain project schedules identifying relationships, logic, milestones and constraints for Data Center construction projects through interactive planning with the project team.
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5+ years of experience using AI/ML , data science software (e.g., Python-based tools) Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science.
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Their responsibilities include: Installing, testing, troubleshooting, repairing or replacing cryptologic networks, physical security systems, electronic equipment, antennas, personal computers, auxiliary equipment, digital and optical interfaces, and data systems Configuring, monitoring and evaluating Information Operations (IO), Information Warfare (IW) systems and Information Assurance (IA) operations Cryptologic Technician Collection (CTR) – CTRs serve as experts in intercepting signals.
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The Mission of Sanofi’s MSL Team and the Medical Science Liaison is to be the trusted scientific partners in the field for external experts and decision-makers engaging in mutual scientific exchanges to accelerate data dissemination.
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Proficient with cloud platforms and technologies, such as AWS, Azure, or GCP and tools such as Databricks (Data Lakehouse, Unity Catalog, Delta Lake, Delta Share) Implement and configure Data Governance platforms and metrics products in Azure cloud, ensuring integration and functionality aligned with the Enterprise Data Strategy.
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Collaborate closely with, technical SEO, UX, UXR (User Experience Research), VoC (Voice of Customer), and Adobe Analytics teams to identify opportunities for improvement, including component optimization, data collection enhancements, and personalization goals, ensuring alignment with business objectives and user needs.
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Complete analysis of raster and vector geospatial data using ArcGIS software and the Python programming language. Primary responsibilities will include (but are not limited to): compiling environmental, demographic, and public health data and documenting data sources; data cleaning using R or Python; summarizing data and performing statistical analysis; performing geospatial analysis using ArcGIS software; developing data visualizations; and documenting analysis methods and findings.
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Working with Oracle SQL, Pl/SQL, Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale. Certification in one of the modules of Oracle fusion application: Oracle Product Data Hub or Oracle Fusion Supply/Demand Planning.
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big data jobs Title: staff software in Wyoming, WY
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