Data Scientist at LLNL

We have multiple openings for a Data Scientist to provide solutions for various projects. You will work in a dynamic multidisciplinary team of independent/entrepreneurial computer scientists engineers and scientific staff who research develop and integrate state-of-the-art algorithms software hardware and computer systems solutions to challenging research and development problems. These positions are in the Global Security Computing Applications Division (GS-CAD) within the Computing Directorate.These positions will be filled at either level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level.You willCollaborate with scientists and researchers in one or more of the following areas: data intensive applications natural language 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.Partner with 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.Contribute to the development of data analysis algorithms to address program and sponsor data sciences requirements.Engage with 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.Participate in the development and integration of 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.Additional job responsibilities at the SES.2 level Contribute to multiple parallel tasks and priorities of customers and partners ensuring deadlines are met.Solve abstract problems converting them into useable algorithms and software modules.Provide solutions that require analysis of multiple factors and the creative use of established methods.Qualifications : Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.Bachelors degree in data science computer science mathematics statistics or related technical field or the equivalent combination of education and related experience.Fundamental knowledge of one or more of the following: scientific data analysis statistical analysis knowledge discovery supervised learning unsupervised learning deep learning reinforcement learning natural language processing and big data technologies.Knowledge of adversarial AI methods including evasion attacks privacy attacks and data poisoning attacks.Skilled in all aspects of the data science life cycle: feasibility / background research data exploration feature engineering modeling visualization deploymentFundamental experience developing data science algorithms with C Python or R in Linux UNIX Windows environments sufficient to integrate solutions into larger applications.Experience developing extensible and maintainable software leveraging software design principles.Experience with scikit-learn PyTorch TensorFlow or similar machine learning (AI/ML) development API for the purpose of developing data science solutions.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 qualifications at the SES.2 level Comprehensive analytical problem-solving and decision-making skills to develop creative solutions to complex problems.Broad experience with one or more of the following technical languages concepts or constructs: Python scientific data analysis statistical analysis knowledge discovery supervised learning unsupervised learning deep learning reinforcement learning natural language processing and big data technologies.Proficient experience with at least one of the following advanced ML concepts: Transfer Learning distributed ML (data/model) ML operations generative models Bayesian optimization computer vision modeling transformers graph neural networks uncertainty quantification surrogate modeling or techniques for data-poor ML (low-shot coresets etc).Additional Information : #LI-HybridPosition InformationThis is a Flexible Term appointment which is for a definite period not to exceed six years.  If final candidate is a Career Indefinite employee Career Indefinite status may be maintained (should funding allow).Why Lawrence Livermore National LaboratoryIncluded in 2025 Best Places to Work by Glassdoor!Flexible Benefits Package401(k)Relocation AssistanceEducation Reimbursement ProgramFlexible schedules (*depending on project needs)Our values - visit  ClearanceThis 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 TestExternal 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.Wireless and Medical DevicesPer the Department of Energy (DOE) Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession.  This includes but not limited to cell phones tablets fitness devices wireless headphones and other Bluetooth/wireless enabled devices.  If you use a medical device which pairs with a mobile device you must still follow the rules concerning the mobile device in individual sections within Limited Areas.  Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas Secure Space and Transit/Buffer Space within buildings.How to identify fake job advertisementsPlease 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:  Employment OpportunityWe 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.Reasonable AccommodationOur 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 NoticeThe 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.Remote Work : NoEmployment Type : Full-time Key Skills Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills Experience: years Vacancy: 1