Pacific Northwest National Laboratory Data Scientist / Senior Principal Investigator - Social Media Analytics in RICHLAND, Washington

Organization and Job ID

Job ID: 307649

Directorate: National Security

Division: Computing and Analytics

Group: Data Science and Analytics

Job Description

Do you want to create a legacy of meaningful research for the greater good? Do you want to lead and contribute to work in support of an organization that addresses some of today’s most challenging problems that face our Nation? Then join us!

For more than 50 years, Pacific Northwest National Laboratory has advanced 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. With substantial experience in social media analytics over the past decade, Pacific Northwest National Laboratory (PNNL) is committed to advancing the state-of-the-art in social media analytics to support scientific discovery and our sponsors’ missions. Help us advance this frontier and protect our nation!

PNNL seeks a passionate researcher and recognized leader in social data and social media analytics to lead the development and advancement of data science and machine learning for social media analytics research.

The candidate should have robust experience in the development, implementation, and dissemination of analytics related to social networks, natural language, image and video characterization, real-time streaming, and related fields applied in the national security domain. The candidate should bring thought leadership, influence, and technical depth to support national security government sponsors. This position may be staffed from either our Richland, WA or Seattle, WA offices.

Responsibilities and Accountabilities:

  • Provide national and international leadership in social media research and the social data industry.

  • Lead development of technical proposals, and the publication/presentation of research findings in relevant journals, conferences, and professional meetings.

  • Serve as the primary representative for social data research at PNNL, to include interactions internally and externally with peers, sponsors, vendors, partners, and decision makers.

  • Possess strong teaming, collaboration, and communication skills.

  • Establish vision and strategy for social media research that anticipates and addresses sponsor needs.

  • Advocate for staff mentoring and development; inspire team members to produce creative solutions.

  • Develop and maintain relationships with strategic partners and vendors.

Discipline, principal job duties/expectations, and qualitative and quantitative measures of performance that exceed the Functional Descriptor:

  • Expert in applying advanced analytics to big data including machine learning and statistical methods.

  • Experienced utilizing big data technologies such as ElasticSearch, NiFi, AWS Lambda, Spark, Dynamo, Hadoop, etc.

  • Experience serving on conference/workshop program committees and/or actively producing open source or protected IP products in the field of social data.

  • Influential publication record in scientific conferences such as: WWW, ICWSM, AAAI, ACL, EMNLP, NAACL, COLING, SIGIR, NIPS, ICML, KDD, CVPR, ICCV, and ICLR.

  • Ideate across big data, user experience, design, software development, systems integration, dev-ops, and research to deliver innovative solutions to sponsors.

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.

Keyword: BigData

Minimum Qualifications

Bachelor's degree with 9 years of experience, Master's degree with 7 years of experience, or PhD with 5 years of experience.

Preferred Qualifications

  • Proven track record demonstrating vision and leadership in developing programs and strategic initiatives.

  • Principle Investigator on projects, and leading technical research and software engineering teams (engineered solutions capable for deployment).

  • National security domain expertise.

  • PhD in Computer Science or related scientific field.

  • Project management experience with full scope, schedule, and budget oversight.

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

Other Information

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


  • 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 Dir

Job Category: Computation and Information Sciences

Group: Data Sciences & Analytics

Opening Date: 2018-11-27

Closing Date: 2019-02-27