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The primary scope of this position includes supporting tasks relevant to earth system and renewable energy system data collection, preparation, analytics, and visualization approaches, and contributing to literature review, technical reports, and exploration of machine learning and deep learning algorithms.
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Knowledge of data visualization libraries for presenting data and results. The candidate for this position will actively participate in interdisciplinary projects to develop and deploy technologies including analysis and visualization of large data sets and collaboration with interdisciplinary teams.
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PNNL's Earth System Science Division enables energy independence and national security through leadership in earth systems science, engineering, and decision analytics. Pursuing a degree in data science, computer science, earth system science, or a related field.
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Exhibit a strong work ethic, be self-motivated, and place a high value on data quality and accuracy. 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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As a member of the Algorithms and Machine Learning team at Pison Technology, the Data Scientist will support machine learning research and development through data collection, signal processing, data mining/analysis, and model research.
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Specific skills: Project management, data analytics & visualization, statistical modeling, machine learning, deep learning, Python, Pandas, NumPy, SKLearn, Pytorch & Keras, Tensorflow, C#, DotNet Core, SQL, Postgres, MySQL, Git, Docker.
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Experience with statistical techniques for data analysis; 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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Demonstrating knowledge of descriptive analytics, predictive analytics, machine learning principles, Artificial Intelligence (AI), robotic process automation (RPA), project management, software and solution implementation methodologies.
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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. Our interdisciplinary scientists steward a breadth of efforts that encompass research on plants to groundwater science and coastal zones, to storm prediction.
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2+ years of experience as a developer, data scientist or machine learning engineer. 11+ years of experience spanning Engineering / Data Science / Technical Program Management leading cross-functional efforts in the software or tech industry in a data-driven environment.
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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. 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.
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At PNNL, you will find an exciting research environment and excellent benefits including health insurance, flexible work schedules and telework options. 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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2+ years of experience with data gathering and analysis tools (e.g., SAS, Python, SQL, BigQuery, Vertex AI, Business Objects, Alteryx) and visualization tools (e.g., Qlik Sense, Tableau, Power BI.
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Seeking Test Engineering Manager where you will have overall responsibility for managing the evaluation, recommendation and implementation of testing procedures and strategies for software, products, systems and solutions in the Telematics, IoT and Full Stack spaces.
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8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
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machine learning data mining software engineering visualization jobs Company: Sheetz
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