Data Scientist

Fusion Energy Base; Livermore (CA); Hybrid; USD 122,000 - 186,000; Full time

Benefits offered by this job

Flexible benefits package

Relocation assistance

Education reimbursement program

401(k)

Flexible schedules

Job summary

Lawrence Livermore National Laboratory in Livermore, CA is seeking a Data Scientist to join a multidisciplinary team that advances state-of-the-art algorithms, software, and hardware for challenging R&D problems. The role blends in-person and remote work, with the option to work from home up to two days per week.

Candidates should have a strong foundation in machine learning and data analysis, experience with Python/C++/R, and the ability to obtain a U.S. DOE Q-level clearance.

Qualifications

• U.S. citizenship with ability to obtain DOE Q-level security clearance.
• Bachelor’s degree in data science, CS, math, statistics, or related field.
• Strong foundation in data science life cycle: research, feature engineering, modeling, deployment.
• Experience with Python, C++, or R in Linux/Windows environments.
• Experience with ML libraries (scikit-learn, PyTorch, TensorFlow).
• Ability to work independently in a multidisciplinary team.

Responsibilities

• Collaborate across data-intensive applications, NLP, graph analysis, and ML teams.
• Develop and integrate state-of-the-art algorithms, software, and systems.
• Contribute to scalable tool development and performance modeling.
• Present technical concepts and results to diverse audiences.

Skills

Python

C++

ML

NLP

Deep learning

Pytorch

TensorFlow

Scikit-learn

Big data

Graph analysis

Education

Bachelor's degree in data science or related field

Tools

scikit-learn

PyTorch

TensorFlow

Job description

We have an opening 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.This position offers a hybrid schedule, blending in-person and virtual presence. You will have the flexibility to work from home up to 2, and at times 3, days per week.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.

Qualifications

• Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
• Bachelor’s 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, deployment.
• Fundamental 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.).

Pay Range

• $121,830 - $185,544 Annually
• $121,830 - $154,500 Annually for the SES.1 level
• $146,340 - $185,544 Annually for the SES.2 level
• This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage.
• An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.

Additional Information

Position Information

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

Why Lawrence Livermore National Laboratory?

• Included in 2026 Best Places to Work by Glassdoor!
• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)

• Our values - visit https://www.llnl.gov/inclusion/our-values

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. 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.

Wireless and Medical Devices

Per 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.

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.

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.