Pacific Northwest National Laboratory Jobs

send a request via <a href="" rel="nofollow noopener" target="_blank"></a> </p><p><strong><em>Please be awar

Job Information

Pacific Northwest National Laboratory Senior Mathematical Data Scientist 4 in SEATTLE, Washington

Organization and Job ID

Job ID: 312621

Directorate: National Security

Division: Computing & Analytics

Group: Data Sciences & 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 Mathematical Data Scientist 4.

The Position

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 in mathematical data and information science to support scientific discovery and our sponsors’ missions. Be a thought and technical leader supporting the development and advancement of our growing capability in the Mathematics of Data Science. We emphasize development of new capabilities in discrete mathematics, computational topology, graph and hypergraph theory, geometric data analysis, and multi-relational data modeling applied to the analysis of data systems, especially in interaction with machine and deep learning systems, human-machine teaming, and complex systems modeling.

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 mathematical data science.

Preferred Skillsets

  • Demonstrated ability to contribute to the academic and research strength of PNNL and have experience writing scientific publications demonstrating their insight and discovery.

  • Demonstrated experience in applied data science computational platforms and/or languages, for example Python environments, R, Matlab, Tableau, SQL, Maple, PyTorch.

  • Demonstrated expertise in at least one mathematical specialty of interest. Examples include:

  • Computational topology, including persistent homology, Topological Data Analysis, or applied sheaf theory.

  • Hypergraph analytics and network science.

  • Applied category theory.

  • Geometric data analysis.

  • Closely related areas in applied discrete mathematics, topology, geometry, or algebra.

  • Additional experience in applying mathematical data science methods to data sets of particular scientific or technical domains is also highly desired, for example computational biology, geospatial intelligence, computer vision, or cyber analytics.

Minimum Qualifications

  • BS/BA with 7 years of experience MS/MA with 5 years of experience PhD with 3 years of experience

Preferred Qualifications

  • 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: 2021-08-30

Closing Date: 2021-09-27