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Lawrence Livermore National Laboratory
Livermore, CA, United States (on-site)
4 days ago
Lawrence Livermore National Laboratory
Livermore, CA, United States (on-site)
4 days ago
Lawrence Livermore National Laboratory
Livermore, CA, United States (on-site)
4 days ago
Lawrence Livermore National Laboratory
Livermore, CA, United States (on-site)
4 days ago
Lawrence Livermore National Laboratory
Livermore, CA, United States (on-site)
6 days ago
Lawrence Livermore National Laboratory
Livermore, CA, United States (on-site)
6 days ago
Undisclosed
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Morganton, NC, United States (on-site)
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1 - 10 Results of 10
Lawrence Livermore National Laboratory
Livermore, California, United States (on-site)
4 days ago

Description

Company Description

Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is essential to innovation and creativity for continued success of the Laboratory’s mission.

Job Description

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 roleyou 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.


Qualifications

  • Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
  • 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.


Additional Information

All your information will be kept confidential according to EEO guidelines.

Position Information

This is a Career Indefinite position. Lab employees and external candidates may be considered for this position.

Why Lawrence Livermore National Laboratory?
  • Included in 2022Best Places to Work by Glassdoor!
  • Work for a premier innovative national Laboratory
  • Comprehensive Benefits Package
  • Flexible schedules (*depending on project needs)
  • Collaborative, creative, inclusive, and fun team environment

Learn more about our company, selection process, position types and security clearances by visiting our Careersite .

Security Clearance

This position requires a Department of Energy (DOE) Q-level clearance.If you are selected, wewill initiate a Federal background investigation to determine if youmeet 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.For additional information, please see DOE Order 472.2 .

Pre-Employment Drug Test

External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

Equal Employment Opportunity

LLNL is an equal opportunity employer that is committed to providing candidates and employees with a work environment free of discrimination and harassment. We value and hire a diverse workforce as it is a vital component of our culture and success. 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, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

LLNL invites you to review the Equal Employment Opportunity posters which include EEO is the Law and Pay Transparency Nondiscrimination Provision .

Reasonable Accommodation

At LLNL, our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please submit a request via our online form .

CaliforniaPrivacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here .

Job Information

  • Job ID: 67048879
  • Workplace Type: On-Site
  • Location:
    Livermore, California, United States
  • Company Name For Job: Lawrence Livermore National Laboratory
  • Position Title: Data Scientist - Entry Level
  • Job Function: Information Technology
  • Job Type: Full-Time

Please refer to the company's website or job descriptions to learn more about them.

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