We have openings for Data Scientists to provide solutions for various projects. You will work in a dynamic, multidisciplinary team of independent/entrepreneurial computer scientists and engineers who research, develop, and integrate state-of-the-art algorithms, software, hardware, and computer systems solutions to challenging research and development problems. This position is in the Global Security Computing Applications Division in the Computing Directorate.
In this role you will
- Collaborate with scientists and researchers in one or more of the following areas: data intensive applications, text processing, graph analysis, machine learning, statistical learning, information visualization, low-level data management, data integration, data streaming, scientific data mining, data fusion, massive-scale knowledge fusion using semantic graphs, database technology, programming models for scalable parallel computing, application performance modeling and analysis, scalable tool development, novel architectures (e.g., FPGAs, GPUs and embedded systems), and HPC architecture simulation and evaluation.
- Work with other LLNL scientists and application developers to bring research results to practical use in LLNL programs.
- Assess the requirements for data sciences research from LLNL programs and external government sponsors.
- Carry out development of data analysis algorithms to address program and sponsor data sciences requirements.
- Engage other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team.
- Contribute to technical solutions, participate as a member of a multidisciplinary team to analyze sponsor requirements and designs, and implement software and perform analyses to address these requirements.
- Develop and integrate components-such as web-based user interfaces, access control mechanisms, and commercial indexing products-for creating an operational information and knowledge discovery system.
- Perform other duties as assigned.
Security Clearance: This position requires a Department of Energy (DOE) Q-level clearance.
If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. In addition, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. If you hold multiple citizenships (U.S. and another country), you may be required to renounce your non-U.S. citizenship before a DOE L or Q clearance will be processed/granted.
- Bachelor’s degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience.
- Fundamental knowledge of one or more of the following: high performance computing, scientific data analysis, statistical analysis, knowledge discovery, computer security, systems programming, large-scale data management, and big data technologies.
- Skilled in all aspects of the software project life cycle: feasibility, requirements, design, implementation, integration, test and deployment.
- Fundamental experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms.
- Ability to effectively handle concurrent technical tasks with conflicting priorities, to approach difficult problems with enthusiasm and creativity and to change focus when necessary, and to work independently and implement research concepts in a multi-disciplinary team environment, where commitments and deadlines are important to project success.
- Sufficient interpersonal skills necessary to interact with all levels of personnel.
- Sufficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information.