Senior Data Scientist 4

6 months ago

Richland, United States Pacific Northwest National Laboratory Full time

Responsibilities

include: Conduct cutting-edge research supporting national security missions. Collaborate with and lead 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. Design, implement, and iterate on novel machine learning and deep learning methods to directly address National Security problems. Define scope and lead project teams, mentor interns and early career staff. Leader in external professional communities, keeping up with advancements in AI, machine learning, and data science methods to identify opportunities for innovation and improvement in national security applications. Be able to recreate state of the art architectures, training techniques and analyses from journal publications with minimal examples and/or author code access. 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 7+ years of relevant work experience -OR- MS/MA and 5+ years of relevant work experience -OR- PhD with 3+ year 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 (e.g., publication in conferences such as NeurIPS, ICML, ICLR, KDD, CVPR, ICCV, ECCV, ACL, ICWSM, EMNLP, NAACL, EACL, COLING, and SIGIR is preferred). 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.

“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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