Data Scientist 2 - Chemical and Nuclear Defense

Key Skills

Aartificial intelligence, C Programming, C++, Computer Vision (CV), Data science techniques, Java Programming, Machine learning techniques, NeurIPS, Python Programming, PyTorch, Scala Programming

Job Description

Responsiblities include:

• Develop or apply data scientific methods to analyze and adjudicate data relevant to chemical and nuclear safeguards and defense. 
• Apply domain knowledge about chemical and nuclear threats and characterization techniques with data science knowledge of statistics, machine learning, advanced mathematics, simulation, software development, and data modeling to actively answer mission questions.
• Produce reproducible and scalable solutions driven by exploratory data analysis from complex and high-dimensional datasets.
• Connect the latest concepts and techniques in data science with known mission needs to help adjudicate data about chemical and nuclear threats.

Qualifications

Minimum Qualifications:

• BS/BA and 2 years of relevant experience -OR-
• MS/MA -OR-
• PhD

Preferred Qualifications:

• Experience applying machine learning and artificial intelligence to network analysis. Additional domain application is preferred – decentralized network analysis, supply chain analysis, and online monitoring. 
• Experience developing, training, and testing machine learning models in frameworks like PyTorch. 
• Experience working with sensitive data. 
• Experience deploying software into cloud-based environments. Domain knowledge about decentralized networks, threat actors, emerging threat techniques, and detection and characterization of threats.
• 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, ACL, ICWSM, EMNLP, NAACL, EACL, COLING, and SIGIR is preferred) 
• 3+ years of experience with computer vision in academia or industry 
• 3+ years in machine learning or applied science/research in academia or industry 
• 3+ years of experience with general purpose programming language (Python, Scala, Java, C, C++, etc.) 
• Active Federal Q Clearance and ability to maintain such clearance

Hazardous Working Conditions/Environment

Not Applicable

Additional Information

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

Requirements: 

• 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 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. 

About PNNL

Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!

At PNNL, you will find an exciting research environment and excellent benefits including health insurance, flexible work schedules and telework options. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3-hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.

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 careers@pnnl.gov.