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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 important for continued success of the Laboratory s mission. Pay Range $127,680 - $163,968 AnnuallyPlease note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay including education, experience, the external labor market, and internal equity. Job Description We have an opening for a Data Scientist to support various advanced manufacturing projects. You will work within a team of engineers, scientists and technicians to develop innovative data driven solutions to enhance and improve additive manufacturing processes and associated diagnostic technologies. Your work will help transform the manufacturing and characterization capabilities supporting critical Laboratory missions. This position is in the Materials Engineering Division (MED). In this role you will
Provides solutions to problems of moderate complexity involving multiple, largely identifiable factors that require the creative use of established methods.Collaborate with engineers and researchers to develop processes and software tools for data mining, statistical and machine learning, and data visualization.Bring systematic and statistical approaches to the challenges of product development and certification for practical use in LLNL programs.Develop analysis and optimization methods to improve manufacturing processes and products.Integrate analysis and results within a NoSQL database.Carry out development of data analysis algorithms to address program and sponsor data sciences requirements.Develop solutions to integrate CNC software, databases, and user interfaces.Document and present advancements to the team and broader scientific and engineering communities.Exercise good coding practices.Perform other duties as assigned.Qualifications
Ability to obtain and maintain a U.S. DOE Q-level security clearance which requires U.S. Citizenship.Bachelor s degree in computer science, engineering, physics, mathematics, or related field.Comprehensive knowledge of one or more of the following: scientific data analysis, statistical analysis, big data technologies, and machine learning.Effective advanced analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems.Experience in selecting the most effective statistical tools given a data analysis problem.Applied experience with machine learning on large datasets.Experience working within code repositories with multiple contributors.Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information.Qualifications We Desire
Master s degree in computer science, engineering, physics, mathematics, or related field.Additional Information All your information will be kept confidential according to EEO guidelines. Position Information This is a Career Indefinite position, open to Lab employees and external candidates. Why Lawrence Livermore National Laboratory?
Flexible Benefits Package401(k)Relocation AssistanceEducation Reimbursement ProgramFlexible schedules (*depending on project needs)Inclusion, Diversity, Equity and Accountability (IDEA) - visit core beliefs - visit engagement - visit 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. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. Pre-Employment Drug Test External applicant(s) selected for this position must 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. How To Identify Fake Job Advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under Find Your Job of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.To learn more about recruitment scams: Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. 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.We invite you to review the Equal Employment Opportunity posters which include EEO is the Law and Pay Transparency Nondiscrimination Provision. Reasonable Accommodation 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 use our online form to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job 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.#J-18808-Ljbffr