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To support this vision, Kimberly-Clark North America (KCNA) is investing in the growth of our high-performance Data Science and Advanced Analytics Strategy team and we are looking for entrepreneurial-minded innovators to join us in our journey.
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Propose new database architecture and support data migration from an existing Legacy system to a new structureCreate source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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The Analytics Manager will lead a team of analysts, work on a small portfolio of projects across the areas of both criminal justice and education, develop and manage processes and procedures for collaborative data access and use, and support broader organizational development activities.
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Manage data visualization and analytics in Tableau and Looker to support marketing decision-making. If you are passionate about data engineering, analytics, and have a knack for deriving marketing insights from data, we would love to hear from you.
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Drive continuous improvement initiatives using data analytics, performance monitoring, and predictive maintenance strategies to optimize equipment uptime and reliability. Reporting directly to the VP of Operations, you will lead strategic initiatives to leverage automation technologies, streamline workflows, and improve overall productivity and quality.
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Lead water resources management, water quality modeling, and environmental data analyses projects nationwide. Master's degree or higher in environmental engineering, environmental science, or related field with strong academic background in aquatic chemistry, limnology, environmental fluid mechanics, or water quality modeling.
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Qualifications Possession of a terminal degree in Bioinformatics or analogous field with at least ten years of experience in computational biology, predictive modeling of biological systems, and transcriptomics and integrative multi-omics analysis.
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We leverage the industry’s most comprehensive and highest quality commercial data assets combined with advanced analytics, AI/ML, and deep healthcare expertise to collaborate with our customers to produce measurable outcomes and value.
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You will utilize your knowledge of geospatial data and analytics while using tools such as Geographic Information Systems (GIS), Python, and visualization/analytical platforms (ex. You will leverage a range of techniques such as geospatial clustering, network analysis, location-based optimization and predictive analytics/modeling.
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Works independently to provide guidance and leadership to mid-level to senior level team or project members, with strict adherence to QA/QC.Proficiency with technical writing, office automation, discipline-specific design software (i.e., MicroStation, AutoCAD, Civil 3D, ArcGIS, InRoads, Geopak, GeoSlope, ANSYS, STADD, HEC-RAS, HEC-HMS), technology, math principles, predictive models, spreadsheets, and tools.
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You’ll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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Certifications including Google Data Analytics Professional Certificate, Power BI Data Analyst Associate, AWS Certified Data Analytics, Enterprise Data Warehouse certifications, Palantir, Client Side performance metrics tools e.g. Quantum Metrics.
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Under general direction of the Department Manager, functions as a Geologist or Environmental Scientist within the Environmental Department. In general, the Geologist or Environmental Scientist would work under the general supervision of project manager(s) to complete assigned tasks for utility clients.
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Coordinate Predictive Maintenance (PdM) and Preventive Maintenance (PM) for rotating equipment and compressor systems. It provides critical support in compressor monitoring, technical assistance, troubleshooting, and coordinates Predictive Maintenance (PdM) and Preventive Maintenance (PM) activities.
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data scientist quality source predictive analytics jobs in Chicago, IL
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