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Proficiency in biological/water quality data analysis and statistics. Demonstrated field experience conducting some or all of the following: water quality sampling, biological assessments, habitat assessments, fluvial geomorphology surveys, aquatic sampling techniques (e.g. electrofishing, seining, kick net), or sediment sampling.
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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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The College of Science and Health provides high quality, personalized, accessible science and health education to a diverse student body, grounded in the values of St. Vincent de Paul. Our teaching and research advance knowledge and service to society.
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The Physical Science Department at Harold Washington College is dedicated to offering high quality Chemistry and Physics laboratory courses which utilize proven educational tools in combination with advanced instructional technology.
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GPA of 3.5 or higher is preferred Common areas of study include but are not limited to: Economics Data Science Financial, Stochastic, and other applied Math Statistics and econometrics Computer Science Engineering Operations Research Other sciences, such as Physics Candidates should possess a high level of intellectual curiosity, a drive for excellence, and a commitment to achieving sustainable results.
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Experience of working with data science platforms - especially DataIKU or databricks. Quantitative and data science skills, for example knowledge of statistics, probability theory, optimization or machine learning.
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Use Terraform modular approach to deploy all data infrastructure as code (IaC) based XaaS solutions. Leverage Site Reliability Engineering (SRE) principles to build highly reliable cloud data infrastructure, manage and operate at scale, solve technical problems, and automate operational tasks.
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Work with the technical and functional teams to identify data anomalies and ensure data quality. Create, execute, and maintain data quality checks. 5+ years of experience in data engineering, including ETL processing, relational database tools, data warehousing, database architecture, SQL Server, SSIS, Synapse, & Databricks with a focus on hands-on work.
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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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Reviews data and identifies quality issuesMiscellaneous Performs other duties as assigned. Job Summary:Utilizes multiple quantitative and qualitative datasets from a variety of sources and interprets results using various techniques, ranging from simple data aggregation via statistical analysis to complex data mining.
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The Field Museum’s Keller Science Action Center translates museum science and expertise into demonstrable results for conservation and quality of life. The Director leads a cross-disciplinary team of social scientists and ecologists, data and spatial analysts, and engagement and environmental specialists to set and implement priorities, achieve science-driven objectives, as well as represent the Center to partners, funders, and donors.
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Master’s degree in Statistics, Econometrics, Data Science, or equivalent combination of education and related work experience. 10+ years of experience performing advanced customer data analytics, customer segmentation, data mining and data science.
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3+ years of FP&A, data analyst or relevant work experience in a finance environment preferably in the Consumer Packaged Goods (CPG) or Cannabis industry. At Cresco Labs, we aim to revolutionize and lead the nation's cannabis industry with a focus on quality and consistency of product, and to bring legitimacy to the industry with the highest level of integrity and professionalism.
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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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Our team is composed of digital native professionals, who have a wide knowledge in the different stages and disciplines of the digital transformation: Digital Strategy, Cloud Infrastructure, Software Development, Data Engineering/Science, Creativity and UX/UI Design and Digital Marketing.
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data quality science jobs Company: Clifyx in Chicago, MN, Us
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