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Portland General Electric (PGE) is seeking a talented Data Scientist to join our Workforce Planning Team. This role is pivotal to executing the HR Organization’s data strategy which is designed to align HR practices with business priorities, help solve business problems through informed decision making, and prepare the future workforce by responding to changing workforce dynamics.
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The Senior Health Care Data Scientist is a subject matter expert who applies data science and their knowledge of health care data to develop solutions that improve health care.
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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Knowledge of data mining and analytic programming tools and methods, including server reporting services (SAS, OLAP, SQL, Business Objects, Crystal, SPSS, Minitab, Tableau) Normally to be proficient in the competencies listed above, the Mental Health Parity Senior Data Reporting Analyst would have a bachelor's degree in mathematics, actuarial science, statistics, computer science or related field and 7 years of related experience or equivalent combination of education and experience.
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Experience working with data exploration and statistical package (such as Python, R, MATLAB, SPSS, SAS, Stata, etc.) Understanding of data sources, research methods and applied operations research methodologies including optimization algorithms, and simulation modeling, and statistical analyses such as sampling approaches, causal modeling, time series analysis, and data mining techniques preferred.
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Title: SAP Customer Master Data analyst. Minimum 8+ years of experience in SAP Master Data, primarily in Sales and distribution discipline. Understand Nike standard for all master data needs, work with cross functional teams perform activities needed to secure sensitive Customer master data.
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Data Center Construction Project Manager - Portland, ORWe are looking for a Data Center Construction Project Manager to support critical facility construction projects. The Construction PM will be responsible for all aspects of managing a data center construction project.
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Advanced knowledge of Extract/Transform/Load (ETL) or Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Informatica, Kafka, Spark, MuleSoft, or equivalent software.
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The Business Data Analyst is responsible to provide data quality assessment, data analysis, pattern and trend identification and data visualization. Must possess advanced skills in Excel, including Pivot tables, VLOOKUP, INEX/MATCH and data tables.
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As a Data Scientist, you will help us manage and make use of data to create innovative client solutions and improve operational processes that rely on data. : Proficient in Python, SQL, ETL, and other data processing, analysis and programming languages and tools.
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The Senior Data Scientist will be responsible for the development and implementation of predictive modeling algorithms and techniques to solve complex business problems and optimize member experiences.
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The Oregon Health and Science University (OHSU) Division of Infectious Diseases seeks an M.D., M.D./Ph. D., or M.D./M.P.H. physician-scientist at the Assistant, Associate, or Professor level. Infectious disease-related research at OHSU is a highly collaborative effort that spans the entire University, including but not limited to the Division of Infectious Diseases, the Department of Molecular Microbiology and Immunology (MMI), the Vaccine and Gene Therapy Institute (VTGI), the School of Dentistry, and the School of Public Health.
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Additionally, the staff scientist will prepare Animal Resources and Research Support (ARRS) Animal Planning and Animal Assignment forms; coordinate/support NHP research protocols hosted by the Infectious Disease Resource (IDR); supervise technical staff; provide training for IDR technical staff; and provide technical expertise for surgical procedures and necropsies as appropriate for the individuals’ training.
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Act as the technical SME for groups across the business in regards to sources data, customer process, data manipulation, and analysis techniques(modeling, predictive analytics and data science.
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In collaboration with EDW and Business Intelligence Teams, the Data Quality Analyst will design, review, and refine data quality reports and alerts and take actions to remedy issues detected.
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Title: data scientist Company: Kesarweb in Portland, OR
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