Pacific Northwest National Laboratory Data Scientist 2 – GEOINT in RICHLAND, Washington
Organization and Job ID
Job ID: 312437
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 Computing & Analytics Division at PNNL as a Data Scientist in Geospatial Intelligence (GEOINT).
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’s Computing and Analytics Division, part of the National Security Directorate, 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. Be a thought and technical leader supporting the development and advancement of computer vision research and capabilities. This role leads specific tasks of the project to meet scope, schedule and budget. This individual is expected to contribute professionally, building a professional reputation for technical expertise. A successful staff member will be fully applying and interpreting standard theories, principles, methods, tools and technologies. You will be contributing technical content to proposals and develops business through excellent project performance.
This position requires interactions with government, military, and industry officials nationwide for a variety of programs, projects, and tasks, including technical and programmatic concept development, planning, coordination, integration, and execution that can be supported by data science and deep learning techniques.
- Bachelor’s degree with 2 years of experience, Master’s with 0 years of experience or PHD with 0 years of experience
Experience training machine learning models in frameworks like PyTorch
Experience applying machine learning and artificial intelligence to geospatial intelligence. Additional domain application experience is preferred – computer vision, natural language processing vision, few-shot learning, adversarial machine learning, social computing, etc.
1+ years of experience with computer vision
2+ years in machine learning or applied science/research in academia or industry
2+ years of experience with general purpose programming language (Python, Scala, Java, C, C++, etc.)
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.
If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via https://jobs.pnnl.gov/help.stm
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.
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: Scientists/Scientific Support
Group: Data Sciences & Analytics
Opening Date: 2021-08-02
Closing Date: 2021-09-27