Senior Data Scientist 4

2 weeks ago

Seattle, Washington, United States Pacific Northwest National Laboratory Full time
Job Title: Senior Data Scientist 4

Pacific Northwest National Laboratory is seeking a highly skilled Senior Data Scientist 4 to join our team. As a key member of our data science team, you will be responsible for developing and implementing advanced data analytics and machine learning solutions to support our national security missions.

Responsibilities:
  • Conduct cutting-edge research and analysis to support national security missions.
  • Collaborate with cross-disciplinary teams to integrate AI technologies into existing and next-generation AI/ML solutions.
  • Design, implement, and iterate on novel machine learning and deep learning methods to address national security problems.
  • Lead project teams, mentor interns and early career staff, and contribute to the development of AI/ML solutions.
  • Stay up-to-date with advancements in AI, machine learning, and data science methods to identify opportunities for innovation and improvement in national security applications.
  • Apply 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.
  • Design, develop, and implement methods, processes, and systems to analyze diverse data to support national security missions.
Qualifications:
  • Minimum Qualifications:
    • BS/BA and 7+ years of relevant work experience -OR-
    • MS/MA and 5+ years of relevant work experience -OR-
    • PhD with 3+ years of relevant experience
  • Preferred Qualifications:
    • 3+ years of experience in AI/ML/DL in applied science/research for national security challenges.
    • 5+ years of experience in Python development and common associated libraries (e.g., Pandas, Numpy, Scipy).
    • 5+ years of experience developing, training, and testing machine learning models in frameworks like PyTorch and Scikit-Learn.
    • 5+ 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.
    • Ability to contribute knowledge to the academic and research strength of PNNL and have experience writing scientific publications demonstrating their insight and discovery.
    • 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.

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.

Referral Eligible

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.

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