Pacific Northwest National Laboratory Jobs

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Job Information

Pacific Northwest National Laboratory Data Scientist I - Analytic Insights in SEATTLE, Washington

Organization and Job ID

Job ID: 312474

Directorate: National Security

Division: Computing and Analytics

Group: Visual Analytics

Job Description

Pacific Northwest National Laboratory (PNNL) is looking for an data scientist with experience in exploratory data analysis and visualization. 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 artificial intelligence through applied machine learning and deep learning to support scientific discovery and our sponsors’ missions.

Data science at PNNL addresses critical national and global issues by applying scientific and mathematical techniques to multiple data sources and communicating the findings to our sponsors and the academic community. This position requires thought leadership and technical depth to support the development and advancement of data science and artificial intelligence research. Research of interest includes the development, implementation, and resulting analyses of national security capabilities related to artificial intelligence assurance, remote sensing and geo-spatial analytics, human language technologies, computer vision, and other related fields.

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.

Key Responsibilities

  • Applies basic S&E theories to well defined tasks with minimal oversight.

  • Working locally as an individual contributor. Building and maintaining effective internal relationships on individual or team level.

  • Demonstrate outstanding verbal and written communication skills and the ability to work in a collaborative environment

  • Receives instruction on required tasks and reports results on time and on budget, while working under guidance from experienced staff.

  • Embrace engineering excellence and delivering quality results at scale

  • Employ expertise with a programming language, such as Python or Java

  • Apply good design and innovative problem-solving skills to solve challenging technical problems

  • Initiate personal direction and goals

  • Stay current about industry developments

  • Passionate and self-motivated with good time management skills

  • Ability to work with different technologies

The Ideal Candidate

  • The desired candidate is a data science practitioner who selects and widely applies principles, theories and concepts from data science and machine learning to gain insight across a variety of application domains.

  • In-depth knowledge in areas such as feature engineering, text analysis, network analysis & visualization, data science, machine learning, reinforcement learning, and optimization

  • Familiarity with data science & analytics packages such as Pandas, scipy, etc.

  • Familiarity with existing deep learning libraries (e.g., TensorFlow, PyTorch, Caffe2) and machine learning packages (i.e., sklearn)

  • The desired candidate is a visualization practitioner with experience applying standard visualizations and creating novel visualizations for data analytics.

  • Experience with packages for creating visualizations for the data science workflow, e.g. Matplotlib, Seaborn, Plotly Dash, etc.

  • Experience with human-computer interaction research and user experience design and evaluation methodologies (e.g, design of experiments, empirical studies, qualitative studies, statistical analysis).

  • Gaining experience in web-based front-end and visualization frameworks, i.e. JavaScript, React.js, D3.js

  • Experience applying machine learning and artificial intelligence to domain specific applications, such as geospatial intelligence, social computing, computer vision, etc.

  • Demonstrated ability to contribute that knowledge to the academic and research strength of PNNL and have experience writing scientific publications demonstrating their insight and discovery (e.g. ACM IUI, ACM CHI, IEEE VIS)

  • 1+ years in machine learning or applied science/research in academia or industry

  • 1+ years recommendation, machine learning, computer vision, natural language processing experience, and results in academy or industry

  • 1+ years of experience with general purpose programming language (C, C++, C#, Java, Python, etc.)

Minimum Qualifications

  • BS/BA with 0-1 years of experience

  • MS/MA with 0 years of experience

Preferred Qualifications

  • Master’s degree in computer science, engineering, applied mathematics, or related field

  • Able to obtain and maintain a Federal Q Clearance

Equal Employment Opportunity

Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via https://jobs.pnnl.gov/help.stm

Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.

Other Information

About Us

PNNL is a world-class research institution powered by a highly educated, diverse workforce committed to collaboration and work-life balance. Dynamic, adaptable people come to PNNL to work with other like-minded individuals on high-impact projects and initiatives for the U.S. Department of Energy and many other sponsors. They focus on meaningful work, innovation, and outcomes. At PNNL, you’ll find a positive, fast-paced environment and excellent benefits, including pension, matching 401(k), tuition reimbursement plans, health insurance, flexible work schedules, and hybrid workplace (telework) options.

Other 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 10 CFR 710, Appendix B.

  • Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause 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 consecutive months can be demonstrated.

Directorate: National Security

Job Category: Scientists/Scientific Support

Group: Visual Analytics

Opening Date: 2021-08-06

Closing Date: 2021-09-27

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