Simulation Data Scientist

Science and Technology on a Mission! For more than 60 years, the Lawrence Livermore National Laboratory (LLNL) has applied science and technology to make the world a safer place. We have an opening for a Simulation Data Scientist. You will work on an integrated team of software developers, researchers, and physicists, exploring and implementing data analytics for massively parallel scientific... codes, running on the latest supercomputer architectures. This position is in the Applications, Simulations and Quality Division within the Computation Directorate matrixed to the Weapons and Complex Integration Principal Directorate. This position will be filled at either the SES.2 or SES.3 level depending on your qualifications. Additional job responsibilities (outlined below) will be assigned if you are selected at the higher level. Essential Duties Create software and algorithm solutions to meet the needs of new High Performance Computing (HPC) architectures. Contribute to the fulfillment of various projects, tasks, and organizational objectives. Collaborate with scientists and researchers in one or more of the following areas: data intensive applications, 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., field-programmable gate arrays, graphics processing unitsand embedded systems), and HPC architecture simulation and evaluation. Work with other scientists and application developers to bring research results to practical use in institutional programs. Develop data analysis algorithms to address simulation enhancements. Engage other developers frequently to share relevant knowledge, opinions, and recommendations. Contribute to the design of technical solutions, while participating as a member of a multidisciplinary team, analyzing requirements and designs, implementing software, and making recommendations. Perform other duties as assigned. In Addition at the SES.3 Level Pursue independent exploratory work to address key HPC exascale challenges. Lead multiple parallel tasks and priorities of customers and partners to ensure deadlines are met, while leveraging team members' skills to complete projects and tasks. Provide advanced solutions that require in-depth analysis of multiple factors and the creative use of established methods. Qualifications Bachelor's degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience. Comprehensive knowledge of one or more of the following: HPC, scientific data analysis, statistical analysis, knowledge discovery, computer security, systems programming, large-scale data management, and big data technologies. Knowledge of all aspects of the software project life cycle: feasibility, requirements, design, implementation, integration, test and deployment. Broad experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms. Demonstrated ability to effectively handle concurrent technical tasks with conflicting priorities, to approach difficult problems with enthusiasm and creativity and to change focus when necessary. Demonstrated ability to work independently and implement research concepts in a multi-disciplinary team environment, where commitments and deadlines are important to project success. Effective interpersonal skills necessary to interact with all levels of personnel. Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information. In Addition at the SES.3 Level Advanced analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems. Significant experience in technical languages, concepts, or constructs and in one or more of the following advanced areas: high performance computing, scientific data analysis, statistical analysis, knowledge discovery, computer security, systems programming, large-scale data management or big data technologies. Advanced verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information. Pre-Employment Drug Test: External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test. Anticipated Clearance Level: Q (Position will be cleared to this level). Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified information or matter. In addition, all L or Q cleared employees are subject to random drug testing. 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. Note: This is a Career Indefinite position. Lab employees and external candidates may be considered for this position. About Us Lawrence Livermore National Laboratory (LLNL), located in the San Francisco Bay Area (East Bay), is a premier applied science laboratory that is part of the National Nuclear Security Administration (NNSA) within the Department of Energy (DOE). LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance. The Laboratory has a current annual budget of about $1.5 billion, employing approximately 6,000 employees. LLNL is an affirmative action/ equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, protected veteran status, age, citizenship, or any other characteristic protected by law. . Apply now!Estimated Salary: $20 to $28 per hour based on qualifications