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Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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Experience, or desire to learn, data science techniques, including data tidying, scripting in R or Python, and visualization through Excel, Python, R, JavaScript, or Tableau Experience, Google Cloud or desire to learn, web programming, including React, Svelte.
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Pursuing a degree in Computer Science, Data Science, Engineering, or similar field. Opportunities are available to participate in teams by contributing to software development, design, and testing, along with data science efforts in data preparation/conditioning, data modeling/analysis, data visualization, and data validation.
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As a year-round intern in ADSA you will assist in the entire software development and/or data science lifecycle. PNNL's Earth System Science Division enables energy independence and national security through leadership in earth systems science, engineering, and decision analytics.
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Our interdisciplinary scientists steward a breadth of efforts that encompass research on plants to groundwater science and coastal zones, to storm prediction. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them.
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Driven by a “science-to-solutions” philosophy, we provide scientific leadership and technology to enhance national security, mitigate natural hazards and optimize disaster response. ADSA staff develop novel analysis methods for data integration with state-of-the-art technologies to help clients craft methods and tools for informed decision- making.
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Experience with one or more of the following languages: C#, JavaScript, PHP, Python. We provide geointelligence through advanced sensing and data analytics to forecast complex system behaviors and operational performance to understand human-natural systems.
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If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.
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PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.
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This includes predicting the impacts of natural hazards and extreme climate events on Earth and human systems, along with the impacts of wildfire, flooding, sea level rise and storm surges. At PNNL, you will find an exciting research environment and excellent benefits including health insurance, flexible work schedules and telework options.
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The Applied Decision Systems and Analytics (ADSA) group at the Pacific Northwest National Laboratory (PNNL) provides an opportunity to work in a dynamic environment solving challenging and interesting problems with national and international impact.
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Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage.
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It also includes developing energy systems, including geothermal energy, sustainable oil and gas production, storage and utilization, along with carbon sequestration. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov.
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PNNL lists the full pay range for the position in the job posting. Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle.
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This includes informed decision making and enhanced community resilience, advanced monitoring, and remote sensing of environmental systems for energy and national security. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
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computer science data python r jobs Title: data analyst Company: Kantar in Niles, Illinois
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