PNNL Careers

Operations Researcher / Data Scientist

Computation and Information Sciences

Job Description

Job ID: 307192
Full/Part Time: Full-Time
Regular/Temporary: Regular

Job Description

Operations Research/Data science at Pacific Northwest National Laboratory performs model-informed and data-driven research and discovery to support decision- and policy-making at all levels and facilitated by the tools and techniques of computational modeling and statistics, simulation, optimization/math programming, and data analytics for national security systems.
Of particular interest is a focus on advanced and emerging simulation tools and mathematical methods that can be applied to various Department of Homeland Security (DHS), Department of Energy (DOE), Department of Defense (DoD), and National Nuclear Security Administration (NNSA), and Department of Health and Human Services (DHHS) processes and concepts of operations. Specific modeling focus areas include risk, resilience, and deterrence modeling and quantification related to a number of national security domains including radiological and nuclear terrorism, bioterrorism threats, cyber and cyber-physical threats, and critical infrastructure. At times, this position may require 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 modeling and simulation methodologies.

Responsibilities & Accountabilities:

The selected staff scientist will have responsibility for developing high-quality modeling, simulation, and analysis products and delivering results to government sponsors. The candidate must be able to independently apply theories, principles, methods, tools, and technologies of the field and work effectively in a team environment. Candidate must also demonstrate ability to work proactively with clients and to independently initiate and carry out new activities. The position therefore requires excellent verbal and written communication skills, with a demonstrated ability for writing concisely and clearly.

The candidate should possess the ability to efficiently program in a programming language such as Python, R, Java, Scala, Matlab, etc. Experience with modeling/simulation and statistical libraries and programming skills including version control and parallel/high-performance computing are preferred. Experience in business development, grant and proposal writing are also valued skills. Above all, the candidate should possess interest, curiosity, and technical depth to support the development and advancement of a variety of applied problems specific to the national security community.

Operating on the data-information-knowledge continuum, staff at PNNL employ diverse methods to confront significant problems of national interest—from distilling distributed data into knowledge that supports decision processes, to enabling resilient technologies that enhance computing at extreme scales, to equipping cyber defenders with tools that prevent damaging cyber-attacks.

Our research portfolio—spanning from basic to applied—includes data and computational engineering, high-performance computing, applied mathematics, semantic and human language technologies, machine learning, data and computing architectures, systems integration, and software and application development.

Computing researchers and practitioners work side by side to apply advanced theories, methods, algorithms, models, evaluation tools and testbeds, and computational-based solutions address complex scientific challenges affecting energy, biological sciences, the environment, and national security.

Equal Employment Opportunity

PNNL is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse, talented workforce. EOE Disability/Vet/M/F/Sexual Orientation/Gender Identity. Staff at PNNL must be able to demonstrate the legal right to work in the United States.

Minimum Qualifications

- Bachelor's degree with 2 years of experience, Master's degree or PhD with 0 years of experience

- Expected to contribute professionally, building a professional reputation for technical expertise fully applying and interpreting standard theories, principles, methods, tools and technologies.

Preferred Qualifications

- Working knowledge in one or several related skill-sets such as:
- Machine learning
- Experiment design and hypothesis testing
- Domains such as nuclear engineering, applied physics, chemistry/biology
- Experience in national security or government policy

Organization and Job ID

Job ID: 307192
Directorate: National Security
Division: Computing and Analytics
Group: Applied Statistics & Computational Modeling