Pacific Northwest National Laboratory Jobs

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Job Information

Pacific Northwest National Laboratory Senior Data Scientist 3 – GEOINT in RICHLAND, Washington

Organization and Job ID

Job ID: 312429

Directorate: National Security

Division: Computing and Analytics

Group: Data Sciences and Analytics

Job Description

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 Senior Data Scientist 3 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 geospatial intellgence research and capabilities.

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.

A successful candidate will:

  • Independently completes and leads small projects and efforts and/or generates automated or strategic analytics in support of mission needs; Leads development of technical products in domain areas

  • Broad understanding of analytic techniques, methods, structures, and workflows in the problem space and implements best practices. Knowledge of analysis structured techniques and methods

  • Participates in professional activities and/or external collaborations. May participate in external technical working groups and assist in organizing workshops

  • Building effective project teams with membership across a group, domain and/or directorate; Influences project and program strategies and directions

  • Generates new ideas for proposals and/or business development opportunities while leading development of technical section of small to medium proposals or project plans

Minimum Qualifications

  • Bachelor’s degree with 5 years of experience, Master’s with 3 years of experience or PHD with 1 years of experience

Preferred Qualifications

  • Experience developing, training, and testing 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.

  • 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, ACMGIS, USGIF, ACL, ICWSM, EMNLP, NAACL, EACL, COLING, and SIGIR is preferred)

  • 3+ years of experience with computer vision

  • 3+ years in machine learning or applied science/research in academia or industry

  • 5+ 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

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

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.

Other Information

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


  • 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 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