Pacific Northwest National Laboratory Senior Data Scientist - Deep Learning in SEATTLE, Washington

Organization and Job ID

Job ID: 306533

Directorate: National Security

Division: Computing & Analytics

Group: Data Science & Analytics

Job Description

Data science at the Pacific Northwest National Laboratory (PNNL) addresses critical national and global issues by applying scientific and mathematical techniques to multiple data sources and communicating the finding to our sponsors and the academic community. This position requires thought leadership and technical depth to support the sponsors of PNNL’s National Security Directorate in the development and advancement of data science and deep learning research. Research of interest includes the development, implementation, and resulting analyses related to quantitative social science, human language technologies, applied machine learning, real-time streaming algorithms, national security, disaster response and recovery, health security, image/video understanding and other related fields.

The data scientist in deep learning should

•be familiar with existing deep learning libraries (e.g., TensorFlow, Theano, Caffe, Torch, and CNTK).

•have experience applying deep learning to domain specific applications, such as natural language processing, behavioral modeling, social computing, time series prediction, computer vision, etc.

•have the ability to contribute that knowledge to the academic and research strength of PNNL and have experience writing scientific publications demonstrating their insight and discovery.

oPublication record in scientific conferences such as NIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, ICWSM, EMNLP, NAACL, EACL, COLING, and SIGIR is preferred

This position will 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 data science and deep learning techniques.

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.

Minimum Qualifications

Bachelor's degree with at least 5 years experience or a Master's degree with 3 years experience.

Must be a skilled professional who applies a broad basis of existing theories, principles, and concepts to a specialty field.

Preferred Qualifications

PhD with 1-2 years experience.

Preference given to candidates with an active Federal Q Clearance and the ability to maintain such clearance.

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.

Other Information

This position requires the ability to obtain a federal security clearance in a timely manner. Which requires:

* 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: 2017-04-21

Closing Date: 2017-06-22