Data Scientist 3

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.

• 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.

• 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

Preferred Qualifications:

• 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.

Hazardous Working Conditions/Environment

PNNL lists the full salary range for each position in accordance with Washington State pay transparency requirements. While the full range is posted, starting salaries generally fall between the minimum and midpoint of the range, with individual offers determined based on relevant job-related experience, qualifications, internal pay equity, and available budget. This approach applies to all positions except those governed by collective bargaining agreements and certain limited-term positions with specific pay rules.

As part of our commitment to fair compensation practices, PNNL does not ask for or consider current or past salary when making compensation offers. Instead, offers are based on the requirements of the position, relevant job-related skills and experience, prevailing market conditions, internal pay equity, applicable collective bargaining agreements, and available budget.

Minimum Salary

USD $140,200.00/Yr.

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.

Our Science & Technology directorates include National Security, Integrated Discovery Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.

The Integrated Discovery Sciences Directorate (IDSD) leads fundamental research across biology, chemistry, Earth and environmental sciences, materials science, advanced computing, artificial intelligence, quantum information science, mathematics, autonomy, and DOE national user facilities. Our vision is to accelerate scientific discovery by observing, understanding, simulating, predicting, and controlling dynamic biotic-abiotic processes and interactions within complex biological, chemical, material, and Earth systems. We intentionally connect disciplines to advance fundamental discovery science, develop transformative scientific capabilities, and address the nation’s most important challenges in energy, environmental resilience, biotechnology, advanced manufacturing, health, and national security., 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. 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!

At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs., 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. 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.