Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
Tailor your resume to this Applied Data Scientist 3 role.
Rezi rewrites your resume against Pacific Northwest National Laboratory's job description. Free.
Tailor your resume to this Applied Data Scientist 3 role.
Rezi rewrites your resume against Pacific Northwest National Laboratory's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Applied Data Scientist 3 posting at Pacific Northwest National Laboratory — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Applied Data Scientist 3 posting at Pacific Northwest National Laboratory — free, in seconds.
About the Role
The Emerging Threats and Technologies Division is seeking a Data Scientist with expertise in AI and a passion for solving mission-critical challenges. This role is key to delivering data-driven solutions for national security challenges in nuclear nonproliferation, policy, and emerging technology. You will collaborate with peers to apply AI and machine learning models, analyze datasets, and perform research bridging cutting-edge methods with field-ready solutions, supporting PNNL's mission through impactful R&D projects.
Responsibilities
- Design and implement AI/data science solutions for complex national security problems, focusing on nuclear nonproliferation, strategic policy analysis, and emerging/disruptive technology assessment.
- Design and implement AI/data science solutions for complex technical challenges, including all-source analysis, object detection, data fusion, and end-to-end data science workflows.
- Design, develop, and implement methods, processes, and systems to analyze diverse datasets, including approaches that traverse and integrate modalities.
- Demonstrate ability to transfer skills across application domains with a deployment-focused approach, specifically in support of non-proliferation mission.
- Develop and evaluate predictive models and advanced algorithms to extract actionable value from structured and unstructured data.
- Identify and assess domain-relevant data resources; translate findings into actionable technical approaches and mission-relevant capabilities.
- Apply machine learning, data modeling, and software engineering to integrate and clean data, quantify uncertainty, identify patterns, and generate insights from high-dimensional datasets.
- Understand how to traverse the nexus of policy, data science, and software engineering to develop data science solutions against real-world constraints.
- Deliver solutions driven by exploratory data analysis and rapid prototyping, with a focus on transition to operational use.
- Build and maintain external partnerships that strengthen the team’s technical reputation and align outcomes with sponsor priorities.
- Serve as a principal investigator (PI) or co-PI on projects and tasks that integrate multiple capabilities and/or interdisciplinary approaches.
- Mentor and guide junior staff, fostering technical excellence and professional development.
Requirements
- Experience distinguishing between when it is appropriate to use classical statistics/modeling versus standard machine learning versus frontier modeling or agentic systems.
- Capable of setting up a data management solution for scientific data and implementing tooling to support/enforce it.
- Experience mentoring and working with staff from other disciplines in how to apply novel analysis methods to their work.
- U.S. Citizenship
- Ability to obtain and maintain a federal security clearance.
- Must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
- 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).
- Must pass a drug test prior to commencing employment.
- Must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication.
- Must disclose any affiliation with the government of a country identified as a “country of risk” by DOE and either recuse oneself or receive approval from DOE and Battelle.
Skills
- AI
- Data Science
- Machine Learning
- Python
- ML/AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
- Scientific data modalities (e.g., microscopy, radiation spectra, mass spectrometry)
- Data management for AI applications
- General-purpose programming languages (e.g., Python, R, Julia, Java, C/C++)
- Intelligence Community Directives pertaining to collection and disseminating all-source intelligence analysis
- Leading small to mid-sized teams
- Briefing non-technical audiences
Location
- PNNL campus
Work Type
- Full-time
Experience Level
- BS/BA and 5+ years of relevant work experience
- MS/MA and 3+ years of relevant work experience
- PhD with 1+ year of relevant experience
Education Level
- BS/BA
- MS/MA
- PhD
Salary/Compensations
- USD $140,200.00/Yr.
- USD $228,800.00/Yr.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Robust telehealth care options
- Several mental health benefits
- Free wellness coaching
- Health savings account
- Flexible spending accounts
- Basic life insurance
- Disability insurance
- Employee assistance program
- Business travel insurance
- Tuition assistance
- Relocation
- Backup childcare
- Legal benefits
- Supplemental parental bonding leave
- Surrogacy and adoption assistance
- Fertility support
- Company-funded pension plan
- 401 (k) savings plan with company match
- Up to 120 vacation hours per year
- Ten paid holidays per year
About the Company
- 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.
- 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.
Equal Opportunity
- Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency.
- We are an Equal Employment Opportunity employer.
- Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer.
- PNNL considers all applicants for employment without regard to race, religion, color, sex, 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.
- 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.