Idaho National Laboratory is hiring a Data Scientist to work in our Digital Twin Frameworks department. Our team works a 9x80 schedule located out of our Research Education Campus with every other Friday off. You will apply mathematics, statistics, logic, and computer science to find insights and conclusions from large datasets. Develop and test algorithms and software-based analytical tools to operationalize those algorithms, using artificial intelligence, machine-learning, and other techniques. Adapt machine learning and artificial intelligence technologies to solve scientific problems and to extract new insights from scientific data. Work with a diverse team of scientists and engineers. Responsibilities Include: - Analyze data and create results in response to data analytics, visualization, and modeling needs on a variety of computational architectures (cloud, on-premises, edge-based). - Apply advanced technologies, such as Explainable Artificial Intelligence/Machine Learning (AI/ML), Large language models (LLMs), physics-informed machine learning process-informed Machine Learning, systems performance analysis, and data sensor fusion methodologies. - Work with a diverse team of scientists and engineers on challenging work scope. - Demonstrate effective research skills and the ability to collaborate and partner with other government agencies, - academia, and private sector companies to achieve project goals. - Publish results of research and development in a mix of refereed publications and conference proceedings. - Work with other research teams to develop cross-cutting technical programs for a variety of customers. - Maintain notebooks, software, and applications. - Work with software and database developers to develop, test, and deploy software code to development, staging and production environments. - May develop software for custom solutions, including 3D visualization tools, paralleled software, batch scripting and web API interaction/development. - Analyze data quality, characterize, and communicate data quality issues to data providers, and design repeatable data processing procedures to accurately analyze data in the presence of quality issues. - Work with domain experts to understand the scope and limits of questions that can be answered by data sets, identify main data features as inputs to analysis, and design output metrics that elegantly describe system attributes and behavior. - Employ specialized methods and state-of-the-art data analysis and modeling tools to support the INL's mission by ensuring the nation’s safe,, and sustainable use of engineered systems in many domains by Apply capabilities to impactful issues in risk, reliability, and operational performance. - Follow INL policies and lab-wide procedures related to software development, cybersecurity, and management of sensitive information. - Work with data providers, database administrators, and software developers to diagnose and with data and software systems quickly and effectively.
