Senior Data Scientist 3 - AI/ML for National Security

Pacific Northwest National Laboratory
Seattle, Washington, United States
$219.5K a year
Full-time

Responsibilities

include :

  • Design, implement, and iterate on novel machine learning and deep learning methods to directly address National Security problems.
  • Conduct cutting-edge research supporting national security missions.
  • Collaborate with cross-disciplinary teams to integrate AI technologies into existing and next-generation AI / ML solutions.
  • Produce solutions driven by artificial intelligence, machine / deep learning methods, or exploratory data analysis from complex and high-dimensional datasets.
  • Be able to recreate state of the art architectures, training techniques and analyses from journal publications with minimal examples and / or author code access.
  • Define scope and lead project teams, mentor interns and early career staff.
  • Leader in external professional communities, keeps up with advancements in AI, machine learning, and data science methods to identify opportunities for innovation and improvement in national security applications.
  • Demonstrate ability to transfer skills across application domains, while demonstrating strong expertise in at least one domain.
  • Applies knowledge of statistics, machine learning, advanced mathematics, 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.
  • Designs, develops, and implements methods, processes, and systems to analyze diverse data to support National Security missions.

Qualifications

Minimum Qualifications :

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

Preferred Qualifications :

  • 4+ years of experience in Python development and common associated libraries (e.g., Pandas, Numpy, Scipy).
  • 4+ years of experience developing, training, and testing machine learning models in frameworks like PyTorch and Scikit-Learn.
  • 4+ years in machine learning or applied science / research.
  • Experience applying machine learning and artificial intelligence to one or more modalities such as text, image, time-series, sensors, radio-frequency data, multimodal applications.
  • 2+ years of experience in AI / ML / DL in applied science / research for national security challenges.
  • Active DOE Q clearance and ability to maintain such clearance.
  • Active TS / SCI clearance and ability to maintain such clearance.

Hazardous Working Conditions / Environment

Not applicable.

Additional Information

This position requires the ability to obtain and maintain a federal security clearance.

Requirements :

  • U.S. Citizenship
  • Background Investigation : Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
  • Drug Testing : All Security Clearance positions are Testing Designated Positions, which means that the candidate selected is subject to pre-employment and random drug testing.

In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).

Note : Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs, including marijuana, for 12 months can be demonstrated.

Testing Designated Position

This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.

30+ days ago
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