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Proficiency in survey methodology, statistical analysis, and data visualization techniques, with expertise in software tools such as SPSS, SAS, R, or STATA. Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including machine learning AI, mobile optimization, gamification, behavioral economics, and virtual/augmented reality.
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Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including Machine learning AI, Mobile Optimized Surveys, Gamification, Behavioral economics, real-time feedback, Multimodal surveys, Blockchain technology, Virtual and Augmented reality.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Langan is seeking a Senior Staff Environmental Scientist, Geologist, Engineer or Hydrogeologist to join its collaborative team in Chicago, IL. This individual will serve a key function in providing site exploration activities, including soil borings and monitoring well installations; conducting field tests; collecting field data and samples; monitoring construction sites; and compiling data and preparing reports.
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Applicable experience, training, and certifications with asbestos, lead-based paint, air quality, low-level radioactive waste, GIS data analysis and geostatistics, hydraulic and hydrologic modeling, sediment remediation and habitat restoration design, or emergency response (e.g., ICS.
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You will be a successful applicant if you have a technical degree such as Chemistry, Chemical Engineering, Biology, Mechanical Engineering, Microbiology, Environmental Science, Paper Science, or Water Resources.
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Bachelor's degree in Environmental Science, Environmental Engineering, Geology or Hydrogeology; Assist with the planning and execution of field investigations by performing field tests, collecting samples, collecting and recording data, and performing routine calculations.
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We apply expertise in solid and fluid dynamics, materials science, acoustics, risk assessments, and computational simulation methods to solve complex problems. Researching and interpreting published research, technology data, and engineering studies on decarbonization technologies like carbon capture, hydrogen, battery storage, etc.
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Our ideal candidates are determined to combine the art and science of data analytics and marketing to help clients address the complex challenges of marketing effectiveness, ROI, brand equity impact, channel effectiveness, and pricing.
$95,105 - $156,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's degree in Plastics/Polymer Processing, Materials Science and Engineering, Chemical Engineering, Mechanical Engineering with 1 to 3 years of experience in the field of processing. Support and improve JDE-QMS or any other future data collection system for continuously improving our business intelligence reporting and data analytics.
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PacketFabric Data Center Engineer THE ROLE: As a well-rounded Data Center Engineer, you will be part facilities engineer, part network engineer and part project manager. (Customer, Data Center Operator, Telecommunications Vendor or Customer) Understanding of large scale data center environments (power, cooling, physical hardware, cabling topologies.
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The Model Risk Management team works with analysts and leaders in Finance, Actuarial, Data Science, and other modeling disciplines to ensure enterprise standards are met for the creation, management, operation, and deprecation of models.
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The Sr. Data Product Manager collaborates closely with Analytics team members and other business stakeholders to translate enterprise-wide stakeholder needs into technical data, reporting and analytics requirements, and works across technology teams to facilitate the development of internal-facing data products or capabilities (including building basic reporting, diving into strategic analyses, or iterating on complex data science models.
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Degree in Biology, molecular biology, life science MUST, (Finance, Accounting, or related field preferred), strong writing skills, sound communication skills, and ability to deal with and handle complex issues.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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data science jobs Company: Capgemini in Chicago, IL
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