Data Scientist 3

Pacific Northwest National Laboratory•Richland, WA

21h

About The Position

The Data Sciences & Machine Intelligence Group in the Advanced Computing, Mathematics, and Data Division at PNNL seeks a Data Scientist 3 to join the group to lead and support scientific research in the broad areas of data science, artificial intelligence (AI) and machine learning (ML) with a focus on optimization/controls and continual learning for complex systems (e.g. DOE Scientific User Facilities - particle accelerators, etc.) and data science for scientific domains. This is an excellent opportunity to develop your scientific career in an outstanding research institution by joining an interdisciplinary research team that focuses on accelerating scientific discovery. The emphasis of this position will be growing existing and crafting new capabilities in the areas of AI, scientific machine learning, optimization/controls, continual learning and agent development to strengthen the group’s leadership position in data science and machine intelligence. A successful candidate will have demonstrable expertise in the broad areas of data science and deep reinforcement learning, graph neural networks. We are looking for a proactive, highly motivated individual with an aptitude for contributing on multi-disciplinary teams, and an interest in natural sciences.

Requirements

BS/BA and 5+ years of relevant experience -OR- MS/MA and 3+ years of relevant experience -OR- PhD with 1+ year of relevant experience

Nice To Haves

Degree in Data Science, Computer Science, Electrical and Computer Engineering, or a closely related field.
Experience in the DOE national lab system.
Demonstrated experience in conducting scientific exploration and research through artifacts such as scientific publications in top tier venues (ACL, EMNLP, AAAI, NeurIPS, ICLR, LREC, etc.) and publicly released datasets and/or software tools.
Architect and build deep reinforcement learning and continual learning for scientific domains.
Proficiency in computer science engineering skills.

Responsibilities

Designs, develops, and implements methods, processes, and systems to analyze diverse data.
Applies knowledge of statistics, machine learning, advanced mathematics, simulation, software development, and data modeling to integrate and clean data, recognize patterns, address uncertainty, pose questions, and make discoveries from structured and/or unstructured data.
Produces solutions driven by exploratory data analysis from complex and high-dimensional datasets.
Designs, develops, and evaluates predictive models and advanced algorithms that lead to optimal value extraction from the data.
Demonstrates ability to transfer skills across application domains.