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Pacific Northwest National Laboratory Mathematical Data Scientist 2 in Seattle, Washington

Overview

Pacific Northwest National Laboratory (PNNL) is looking for a early career researcher who can make significant contributions towards advancing our growing capability in the mathematics of data science. PNNL’s Data Sciences and Analytics Group emphasizes the 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.

For more than 50 years, PNNL has been advancing 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 mathematical data and information science to support scientific discovery and address our nation’s most challenging problems.

Do you want to create a legacy of meaningful research for the greater good? Join us!

Responsibilities

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

  • Effective written and oral communication.

  • Strong interpersonal skills and the ability to collaborate effectively on diverse teams.

  • Demonstrated experience in applied data science computational platforms and/or languages such as Python environments, R, Matlab, Tableau, SQL, and 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 high order networks

  • Applied category theory

  • Geometric data analysis

  • Random matrix theory

  • Algebraic geometry

  • Statistical inference

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

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

Qualifications

Minimum Qualifications:

  • BS/BA with 2 years of experience

  • MS/MA with 0-2 years of experience

  • PhD with 0 years of experience

Preferred Qualifications:

  • PhD in mathematics, applied mathematics, computer science, or closely related field.

  • Relevant coursework including topology, graph theory, programming (Python specifically), discrete mathematics, probability, statistical inference, and/or machine learning.

Hazardous Working Conditions/Environment

Not applicable.

Additional Information

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

  • U.S. Citizenship Required.

  • 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.

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.

Commitment to Excellence, Diversity, Equity, Inclusion, and Equal Employment Opportunity

Our laboratory is committed to a diverse and inclusive work environment dedicated to solving critical challenges in fundamental sciences, national security, and energy resiliency. We are proud to be an Equal Employment Opportunity and Affirmative Action employer. In support of this commitment, we encourage people of all racial/ethnic identities, women, veterans, and individuals with disabilities to apply for employment.

Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.

We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at hr@pnnl.gov .

Drug Free Workplace

PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.

Mandatory Requirements

Battelle requires employees to have a COVID-19 vaccine as a condition of employment, subject to accommodation. Applicants are required to disclose their vaccination status following a conditional offer of employment and must attest to being fully vaccinated with a Center for Disease Control (CDC)-approved COVID-19 vaccination, or provide documentation of need for medical or religious exemption from the COVID-19 vaccination requirement.

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