Pacific Northwest National Laboratory Data Scientist in Artificial Intelligence [WIDS] - Early Career in SEATTLE, Washington
Organization and Job ID
Job ID: 312025
Directorate: National Security
Division: Computing and Analytics
Group: Data Sciences and Analytics
Do you want to create a legacy of meaningful research for the greater good? Do you want to lead and contribute to work in support of an organization that addresses some of today’s most challenging problems that face our Nation? Do you want to work with engaging and collaborative teams? Then join us in the Data Sciences and Analytics Group at the Pacific Northwest National Laboratory (PNNL)!
For more than 50 years, PNNL has advanced the frontiers of science and engineering in the service of our nation and the world in the areas of energy, the environment and national security. PNNL is committed to advancing the state-of-the-art in artificial intelligence through applied machine learning and deep learning to support scientific discovery and our sponsors’ missions. Help us advance this frontier and protect our nation!
Data science at the Pacific Northwest National Laboratory (PNNL) addresses critical national and global issues by applying scientific and mathematical techniques to multiple data sources and communicating the finding to our sponsors and the academic community. This position requires thought leadership and technical depth to support the sponsors of PNNL’s National Security Directorate in the development and advancement of data science and deep learning research. Research of interest includes the development, implementation, and resulting analyses of national security capabilities related to geo-spatial analytics, AI assurance, adversarial machine learning, human language technologies, computer vision, disaster response and recovery, health security, and other related fields. This position is recommended for early career data scientists attending the Women in Data Science conference.
The data scientist in artificial intelligence should have the following attributes:
Familiar with existing deep learning libraries (e.g., TensorFlow, PyTorch, JAX) and machine learning packages (i.e. sklearn)
Experience applying machine learning and artificial intelligence to domain specific applications, such as geospatial intelligence, natural language processing, few-shot learning, adversarial machine learning, social computing, computer vision, etc.
Ability to contribute that knowledge to the academic and research strength of PNNL and have experience writing scientific publications demonstrating their insight and discovery.
- Bachelor's with 0-1 years of experience or a Master's degree with 0 years of experience is required.
- Active Federal Q Clearance and ability to maintain such clearance.
Equal Employment Opportunity
Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.
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.
This position requires the ability to obtain and maintain a federal security clearance in a timely manner.
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause 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 consecutive months can be demonstrated.
Directorate: National Security
Job Category: Computation and Information Sciences
Group: Data Sciences & Analytics
Opening Date: 2021-04-26
Closing Date: 2021-05-20