Senior Mathematical Data Scientist - National Security, Defense Applications

at  Pacific Northwest National Laboratory

Seattle, WA 98109, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate25 Sep, 2024Not Specified27 Jun, 20241 year(s) or aboveArtificial Intelligence,Access,Statistics,Engineers,Technical Leadership,Government,Maritime Domain Awareness,Addition,Computer Vision,Completion,Social Computing,Drug Testing,Mathematics,Scientists,Scientific Writing,Machine LearningNoNo
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Description:

Overview:
Protecting U.S. residents and visitors is among our nation’s highest priorities. As adversaries gain access to sophisticated technologies and materials, the threats grow more dynamic and complex—from cyber and nuclear to chemical and biological weapons of mass effect and other forms of terrorism. The PNNL national security mission employs our researchers, tools, and technologies to play a key role in advancing the ability to identify and secure nuclear materials, detect weapons of mass effect, manage nonproliferation treaties, secure our nation’s borders, and protect critical infrastructures. PNNL’s scientific discovery and capabilities—rooted in innovative theory, methods, algorithms, and tools—are enabling stronger, more resilient technologies and systems to safeguard national security. Coupled with decades of radiological and nuclear materials expertise, advanced computing and threat analysis capabilities, and a broad fundamental science base, we are identifying and countering emerging threats that have significant impact at home and around the globe.
Rockstar Rewards:

Employees and their families are offered medical insurance, dental insurance, vision insurance, health savings account, flexible spending accounts, basic life insurance, disability insurance, employee assistance program, business travel insurance, tuition assistance, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company funded pension plan and may enroll in our 401k savings plan. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year.

  • Research Associates excluded.

**Once eligibility requirements are met.
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Responsibilities:
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 developing, applying and interpreting standard theories, principles, methods, tools and technologies. You will be contributing technical content to proposals and develops business through outstanding 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.

A successful candidate will:

  • Independently execute as a technical contributor
  • Lead and develop technical approaches for mission-aligned objectives
  • 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.
  • Participates in professional activities and/or external collaborations. May participate in external technical working groups and assist in organizing workshops
  • Mentorship of early career researchers

Qualifications:

Minimum Qualifications:

  • BS/BA and 5+ years of relevant work experience -OR-
  • MS/MA and 3+ years of relevant work experience -OR-
  • PhD with 1+ year of relevant experience

Preferred Qualifications:

  • 3+ years of experience applying quantitative analysis, machine learning and artificial intelligence to geospatial intelligence data. Additional domain application experience is preferred – computer vision, natural language processing vision, few-shot learning, adversarial machine learning, social computing, etc.
  • 3+ years in machine learning or applied science/research in academia, industry, or government
  • PhD in mathematics, statistics, or related field with 1+ years of experience
  • Experience developing, training, and testing machine learning models
  • Familiarity with government organizations and business development opportunities
  • Experience applying mathematical and analytics approaches to maritime domain awareness and/or autonomy
  • Ability to contribute knowledge to research strength of PNNL and have experience using scientific writing to demonstrate their insight and discovery to interested parties
  • Demonstrated technical leadership of technical projects with budgets of at least one full time equivalent at respective organizations
  • Familiarity with operations research
  • Ability to effectively team with a diverse group of scientist and engineers from a broad range of technical backgrounds to develop creative solutions to complex problems
  • Effectively communicate complex theories, methods, and approaches to scientists and engineers from other domains as well as key stakeholders
  • Experience developing and writing proposals
  • Active Federal Q Clearance with SCI 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 (TDP):
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.
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.
If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.
HSPD-12 PIV Credential Requirement:
In accordance with Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, new employees are required to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws

Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:1.0Max:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Phd

Proficient

1

Seattle, WA 98109, USA